Privacy Journo Requests

Connect with journalists covering privacy. From breaking news to in-depth features, discover relevant media opportunities from top publications in this category.

Never Miss a Privacy Journo Request

Get instant alerts when Privacy journalists post new journo requests. Join the community of sources landing media opportunities daily.

People Falsely Accused - Experiences With Justice System

Looking to hear from people who have experienced a false accusation Hi everyone, I hope it’s okay for me to post this here. I’m a high school student in Seoul and have made a student-led project examining fairness and safeguards within the criminal justice system. I’m currently hoping to speak with people who have personally experienced being falsely accused of a crime and who might be comfortable sharing their experience in a private interview. The conversation would be around 20–30 minutes, over Zoom, Google Meet, or another format you are comfortable with. There is absolutely no expectation that you share anything you do not want to discuss. I also want to be especially clear about privacy. I would not publish your name, identifying information, recording, quotations, or details of your case without your explicit permission. If you would prefer to remain completely anonymous in anything I produce, I will respect that. I’m also happy to speak without recording the conversation at all. My goal is simply to better understand what being accused can actually look like from the perspective of the person experiencing it, including interactions with police, lawyers, family, work, reputation, and the longer term effects even when an accusation does not result in a conviction. If anyone here would be willing to speak with me, please feel free to DM me privately. You can ask me any questions about the project before deciding whether you are comfortable participating. You can also see the project here: www.justicelenskorea.xyz Thank you for reading, and I completely understand if this is something people would rather not discuss.

M&A Professionals - What Happens After Confidential Files Leave Company

How do companies actually control confidential files shared with external advisers? I’m doing some research into how companies handle confidential information when working with external parties such as consultants, accountants, lawyers, investment bankers, agencies, or other advisers. I’m particularly interested in what happensafter a confidential file leaves the company. For example, imagine a company sends financial data, customer information, strategy documents, or transaction materials to an external adviser. I’d love to understand: How does your company normally share these files today? Email, SharePoint, data rooms, Google Drive, something else? Once the file is shared, can you actually tell who downloaded, printed, forwarded, or accessed it? If several people at an external firm have access, do you know exactly who is responsible for handling that information? Have you ever seen situations where confidential information was copied, forwarded internally, printed, screenshotted, or otherwise used outside the original purpose? Do existing tools such as VDRs, SharePoint, DLP, NDAs, or access controls solve this problem well enough, or are there still gaps? I’m still trying to understand whether this is actually a meaningful problem. Would especially love to hear from people working in: Consulting / Big 4 / accounting Investment banking / PE / VC Legal Corporate strategy / M&A Risk / compliance Cybersecurity / IT Data privacy / governance Even a short comment about how your organisation handles this would be extremely helpful. If anyone is willing to have a 10–15 minute anonymous chat about their experience, feel free to DM me as well. No company names or sensitive information needed.

New Englanders - Local Good News & Community Wins

Any New Englanders here? I want your good news!! HELLO GOOD NEWS FANATICS Longtime lurker here but this is my first post on this subreddit. A lot of the posts / discourse here focuses on good news with a global perspective, but I'd like this thread to be about things more LOCAL!! I've been really into this world for a while (I am a fanatic subscriber of all the outlets-- Our World in Data, Fix the News, The Progress Network, Human Progress, Good Good Good, etc), and wanted to start contributing to the good news movement, but in a way that was unique. So I began a locally-focused project, where I curate / share good news stories from my region of the world-- New England (northeast United States). My project is called Granite Goodness! It's been really fun because I've gotten to show people that plenty of perfectly impressive good news happens all the time, and it hides in plain sight. We just tend to not see it curated together. Here are some local stories that have brought me some optimism lately. Connecticut farmers are organizing to solve shared problems. The state's 120 farmers markets long operated in relative isolation, each one troubleshooting vendor rules, permits, and slow days on its own. A new statewide coalition is now two years into connecting organizers to share resources and knowledge. (Yonkers Times) Rhode Island is protecting 174 acres of open space. Using $1.23 million in voter-approved Green Bond grants, four projects are being funded from forestland in Glocester to a shoreline property overlooking Mount Hope Bay in Tiverton. The same program has protected more than 13,000 acres since 1985. (RI Dept. of Environmental Management) Vermont just became the 23rd state to pass a consumer privacy law. Governor Phil Scott signed the Vermont Data Privacy Act in June, giving residents new rights over how their personal data is collected, used, and sold. The law includes added protections for health and genetic data and takes effect January 1, 2028. (IAPP) In 2025, Maine exceeded forecasts for ADU construction. ADUs made up roughly 9% of residential building permits across Maine's 183 largest municipalities last year, surprising even housing researchers as small towns exceeded expectations. Windham led with 16 permits, and New Gloucester, a town of under 6,000, matched Portland with 14. (Portland Press Herald) The University of New Hampshire just launched a new Center for Neurodiversity. The center supports all students, staff, and faculty, with resources ranging from internship support to faculty training on neuroinclusive syllabi. UNH's long-term vision is to expand services beyond campus to communities across New Hampshire. (University of New Hampshire) Massachusetts just reduced opioid deaths by 27%. 978 deaths were recorded in 2025, the first year since 2013 when the figure was below 1,000. The drop is credited to expanded treatment, harm reduction, and recovery support. (WBUR) Traditional news matters, but it often highlights a disproportionate share of the worst events, which can leave people feeling burnt out, anxious, or cynical. Note that these summaries are my own words on what I find optimistic from the original stories, not direct quotes from the sources. If you want more detail, I link and credit the original sources on our site. Reddit discourages too many hyperlinks, so I don’t include them here. Please use this thread to share some good news LOCAL to YOU!! especially if you're from or around the northeast USA! If anyone is working on a similar project, I'd love to hear from you too. -Andy

Forensic Psychologists - Film Research - Crime & Witness Memory

Filmmaker looking to learn from forensic psychology & law enforcement professionals Filmmaker looking to learn from forensic psychology & law enforcement professionals Hi everyone! I’m a film directing student from Armenia, currently studying documentary and fiction filmmaking. I’m especially interested in crime, criminal psychology, investigations, witness behavior, interrogation, profiling, and the psychological consequences of witnessing or committing a crime. I’m looking to connect with people who work (or have worked) in fields such as: forensic psychology criminal psychology law enforcement / policing criminal investigation / detectives FBI or similar agencies forensic interviewing criminology criminalistics / forensic science corrections / prison psychology victim advocacy I’m hoping to find professionals who would be willing to answer questions about their work and, where ethically and legally appropriate, share anonymized or generalized real-world experiences and cases that could help me understand how these situations actually happen. I’m NOT looking for confidential information, identifying details, or anything that could compromise a real investigation or the privacy of victims, suspects, or professionals. My goal is to make future films and series psychologically and procedurally realistic rather than relying on Hollywood stereotypes. This is also a long-term personal and professional interest for me. In the future, I’m planning to pursue a second degree/professional education in criminalistics and criminal profiling, alongside filmmaking. So I’m genuinely interested in learning how this field works from people who have actually studied and worked in it, rather than simply using it as research for a movie. Some things I’d especially love to learn about: What psychological reactions are actually common after witnessing a violent crime? How do investigators distinguish genuine fear from trauma-related hypervigilance or other psychological reactions? How do witnesses' memories and perceptions change after a traumatic event? What mistakes do films commonly make when portraying suspects, witnesses, interrogations, investigators, or profilers? What behaviors or details tend to be misunderstood by screenwriters? Are there anonymized or generalized cases from your professional experience that you are comfortable discussing? What is something you wish filmmakers understood about your field? I’m also happy to have a private conversation/DM if that’s more comfortable. I’m not looking for someone to write my scripts for me. I want to learn from people with real professional experience and gradually build a much deeper understanding of criminal behavior, investigation, and forensic psychology. If you’re a professional in one of these fields and are open to talking, I’d genuinely love to hear from you. Thank you!

Canadian Healthcare Innovators - Voices of Innovation Canada

🍁 Canada is doing remarkable work in healthcare innovation. Now we want to help tell those stories. Submissions are officially open for Voices of Innovation Canada, a new Canadian edition of the Voices of Innovation series, building on Ed Marx’s original 2019 healthcare bestseller. I’m proud to be working on this Canadian edition alongside Edward Marx, Robyn Fulkerson and Sakshika D. with the goal of bringing together voices from across the country who are actually changing how healthcare is delivered. This is not simply a book about technology. It is about the people, organizations and ideas moving Canadian healthcare forward. We want to hear about innovations that solved real problems, created measurable change and produced lessons that other healthcare organizations can learn from. We are looking for stories from healthcare leaders, clinicians, physicians, nurses, researchers, digital health professionals, innovators, entrepreneurs and others working across areas such as: • Artificial intelligence and automation • Data, analytics and learning health systems • Digital health and clinical information systems • Interoperability and connected care • Patient and clinician experience • Virtual care and new models of care • Workflow and clinical transformation • Innovation adoption and scaling • Governance, privacy and responsible innovation • And other examples of meaningful healthcare transformation The book is structured around the HIMSS Innovation Pathways, with contributors sharing practical stories of successful innovation from their organizations. Essays submitted for consideration are 1,500 to 3,000 words, and the Canadian edition is planned for release in 2027. If you have been part of something that changed healthcare for the better, this is an opportunity to document it, share what you learned and add your voice to a broader Canadian story. Visit the dedicated Voices of Innovation Canada page to learn more about the book: Voices of Innovation Canada https://lnkd.in/g8ugVuWR Then, when you are ready, submit your essay here and select VOI: Canada: Submit your essay for Voices of Innovation Canada https://lnkd.in/gUiG4XYn Some of the best innovation stories in Canadian healthcare have never been properly told. We want to change that. What innovation story should Canada be sharing with the world? Digital Health Canada HIMSS HIMSS Eastern Canada Chapter (HIMSS Section de l’Est du Canada) HIMSS Canadian Prairies Chapter HIMSS Global Health Conference & Exhibition HIMSS British Columbia Chapter Canadian Institute for Health Information (CIHI) Canadian Health Information Management Association - CHIMA Michael B. Decter The Hon. Tony Clement TECHNATION Canada Health Infoway Alan John Forster Muhammad Mamdani Ted Scott Jennifer Zelmer Terence Tang André Picard Jerry Zeidenberg Dr. Dante Morra Colin Hung Gary Ryan Chris C. Anderson Elizabeth Toller Anne Snowdon Adalsteinn (Steini) Brown

Frontier AI & National Security Experts - Governing AI Without Trust

Can we build a global AI safety regime when the U.S. and China do not trust each other? In my new Fortune piece, I argued that the answer is yes. In fact, that should be the starting point for the model. Most discussions of international AI governance start with the question of how to get countries to agree on shared principles. I think that may be the wrong question. The U.S. and China are unlikely to agree anytime soon on privacy, surveillance, censorship, military use, or the values advanced AI systems should serve. They do not need to agree on all of that. They need to agree on a small number of scenarios neither side wants to see: systems capable of autonomous replication, accelerating the development of their own successors, evading oversight, or enabling catastrophic biological or cyber harm. In my new #Fortune piece, I propose a different approach to AI governance: Don’t build it on trust. Build it to work when trust is absent. The model rests on three elements: agreed early warning indicators, independent technical verification, and real consequences when commitments are violated. It draws on lessons from another system I spent years working in: the global fight against money laundering, terrorist financing, and proliferation financing. Countries in that system did not always trust one another. It worked because trust was not a prerequisite. What mattered were agreed rules, professional assessment, and consequences. The Fortune piece is a first attempt to translate that logic to frontier AI. I’d especially like to hear from people working on frontier AI, AI safety, national security, compute governance, and international coordination. There are still hard design questions to solve, and I’m now working on turning this into a much more concrete model. Governing AI Without Trust #AIGovernance #AISafety #FrontierAI #ArtificialIntelligence #Geopolitics #recursive

fortune.com logofortune.com

Workers in South Africa - Employed But Financially Struggling

Working but still struggling? I’d like to hear your experience. Yep, I realise I’m back in your feed. This will be my final outreach post for this project, so I promise I’m not trying to become a permanent fixture here😅. I’m a journalism student working on a three-week reporting series about unemployment, wages and the broader employment situation in South Africa. Some of you may have seen my earlier post here, or posts I’ve made in other communities. I’m making one last call because there are only so many places where you can ask people about employment without accidentally violating a subreddit rule, starting an argument with a moderator, or making everyone wonder why the journo has appeared again. I’m looking to speak to people who are currently working but still struggling financially, or who have experienced insecure, unstable or difficult working conditions. That could include people on low wages, people working multiple jobs or side hustles, workers employed below their qualifications, temporary or casual workers, contract workers, outsourced workers, people working through labour brokers or agencies, or anyone who has experienced retrenchment, repeated short-term contracts, changes to their pay or hours, or problems with benefits or job security. I’m particularly interested in what employment actually looks like behind the payslip. Does your income cover the basics? Have you had to rely on family, debt or additional work to get by? Has having a job actually made you feel financially secure, or does it still feel like one unexpected expense could throw everything off? I’m also interested in what happens inside the workplace. If you’ve experienced difficult working conditions, excessive hours, unpaid overtime, insecure contracts, outsourcing or other issues that have affected your ability to earn a decent living, I’d be interested in hearing about your experience. You don’t need to have some dramatic story. Ordinary experiences absolutely matter too. Sometimes the most useful part of a story is simply showing what everyday working life actually looks like. Privacy is entirely your choice. You can remain anonymous, or we can discuss identification privately if you’re comfortable with it. You also don’t need to share personal information publicly. If you’re willing to share your experience, feel free to comment or DM me directly . I’d genuinely appreciate hearing from you. Thank you for reading🙏🏾.

Cybersecurity Companies & Experts - AI Scams & Consumer Safety

Calling all cybersecurity experts and organizations. 👋HI! Over the past few weeks, I’ve received quite a few requests from reporters looking for cybersecurity experts who can speak to the threats consumers and businesses are facing right now. And the timing couldn’t be better to build a proactive media strategy around this conversation. October is Cybersecurity Awareness Month, which gives us an entire month of timely opportunities to educate audiences about online safety, scams, data privacy and the rapidly changing cyber landscape. With the growth of AI, these conversations are becoming even more important. From AI-powered scams and increasingly sophisticated phishing attempts to identity theft, data breaches and the everyday steps people and businesses can take to protect themselves - reporters need credible experts who can break these issues down in a way audiences can actually understand. So, I’m looking to connect with cybersecurity companies, organizations and experts who want to position themselves as go-to media resources in this space and I want to think bigger than one interview or one media tour. Think national and local broadcast. Digital and streaming. Radio. Podcasts. Bilingual media. October gives us the timely hook, but the goal is to build relationships and visibility that continue long after Cybersecurity Awareness Month ends. The timeline is now. September is the time to develop the messaging, identify the strongest consumer and business angles, prepare spokespeople and begin outreach so we’re positioned for opportunities throughout October and beyond. If your organization has an expert who can speak to cybersecurity, AI and emerging threats, or you know someone who should be part of this conversation, I’d love to connect. Contigo PR & Media Consulting: With you. Aligned with your vision. Evolving together.

Cornell AR Program Participants - AI Academic Integrity Experiences

Have you participated in the Accepting Responsibility program? A reporter wants to know Hi all. My name is Lee Gaines. I'm a reporter working on an assignment for the Hechinger Report about Cornell's response to academic integrity in the age of AI. I'm looking to talk to students who have participated in Cornell's "Accepting Responsibility" program. For anyone who hasn't heard of this, the AR program offers a workshop instead of the standard hearing and appeals process for some first-time academic integrity violations. Admins say that during the pilot phase of AR, more than half of the violations students got sent to the program for were AI-related. I'm interested in student perspectives; did the program help you handle academic challenges, clarify expectations around AI-use, and/or use AI in a way that doesn't undermine learning? Was it helpful or a waste of time? You don't need to comment here, or share anything sensitive under this post. You can DM me. Or email me: [email redacted]. We can discuss privacy and what you're comfortable sharing on the record before any interview. And I will only quote people with their explicit consent. And if you haven't participated in the AR program, I'm also intersted in hearing your general takes on Cornell's response to AI. Are professor policies on AI-use clear and/or fair? Have professors changed how they conduct exams? Anything else you think a reporter should know? Thanks!

hechingerreport.org logohechingerreport.org

Nepali Women Doing Paid Video Calls - Income Scams & Privacy

I went down a rabbit hole researching Nepal’s “VC” market: here’s what I learned from talking to 8 people A few days ago, I came across discussions about “VC” in Nepal and, honestly, I had no idea how big the whole thing was. So I got curious and started asking questions. Over the last few days, I spoke with 8 women who are involved in paid video calls/content, and asked them about income, customers, payment methods, risks, and why they do it. Obviously, this is not a scientific survey. It’s just what these 8 people personally told me. But some of the answers were surprisingly consistent. 1. Apparently, it’s much more common than I thought The biggest surprise was simply how widespread they claimed it is. Most of them said there is a significant market for paid video calls and private content in Nepal, particularly among Nepali men living abroad. When I asked how much they typically make, the answers varied massively. Several claimed they can make around Rs. 10,000 on an average day, while some said a particularly good day can reach Rs. 50,000+. Again, these are self-reported numbers, not verified income data. 2. Why do they do it? I asked a pretty straightforward question: “Are you doing this because you enjoy it, or mainly for the money?” Out of the 8: 6 said money was the main reason 2 said they genuinely enjoy the attention/exposure, and money is secondary So for most of the people I spoke to, this was essentially an income opportunity rather than something they necessarily wanted to build an identity around. 3. What about privacy and being recognized? This was probably the most interesting part. Some said they aren’t particularly worried about their identity being exposed as long as their real name isn’t publicly connected to the account. Others were much more concerned. One person told me that people they actually know have appeared as customers, which makes things uncomfortable. Another concern was basically: “You never know who is watching.” Friends, relatives, acquaintances — potentially anyone. That creates a strange situation where the market can be financially attractive while simultaneously carrying a serious privacy risk. 4. How are payments handled? Most of the people I spoke to said they receive payments through their own bank/QR systems. But a few said they use alternative QR accounts, including business/store QR accounts or older accounts. That raised another interesting question for me: how much of this income is actually being recorded and taxed as income? I don’t have enough information to answer that. 5. Who are the customers? According to everyone I spoke to, a large portion of the customers are Nepalis living abroad. They also mentioned Indian customers who specifically seek Nepali creators. And apparently social media is a huge part of the ecosystem. Snapchat, Facebook, TikTok and other platforms are reportedly used to find customers and promote accounts. But there is also a major scam problem. Several people warned me that accounts advertising ridiculously cheap prices — like Rs. 100–200 — are often fake or scams. 6. How many customers? When I asked: “How many clients do you actually get in a day?” The answer from multiple people was basically: “More than you imagine.” Some claimed that if someone is genuinely focused on maximizing income, earning Rs. 1 lakh in a day is possible. Personally, this is where I became skeptical. Because once numbers like that start getting thrown around, it’s very difficult to distinguish between someone’s best day, their average day, gross revenue, and actual profit. So I wouldn’t treat those figures as representative of the whole market. Then I started thinking about the market itself. Let’s take an extremely simple hypothetical. Suppose, purely for calculation, that 100 people in Nepal were actively earning money through this kind of work. If each generated even Rs. 10,000 per day, that’s: Rs. 10,00,000 per day ≈ Rs. 3.65 billion per year That’s Rs. 365 crore annually. And that’s only 100 people at Rs. 10,000/day. But this calculation is obviously not evidence that Nepal’s actual market is Rs. 3.65 billion. We don’t know: How many people actually participate Their real average income How many days they work How much money leaves Nepal How much is spent by Nepali customers How much goes to platforms/middlemen How much is lost to scams How many reported earnings are exaggerated So the real market could be dramatically smaller — or larger. That’s exactly why I think the lack of reliable data is interesting. What if Nepal actually regulated this industry? This is where the discussion gets complicated. There is an argument that if consenting adults are voluntarily providing digital services, bringing the activity into a regulated framework could have some advantages: Potential benefits Taxable income becomes easier to track People could have clearer legal protections Better mechanisms for reporting harassment, blackmail and fraud Financial transactions become more transparent Platforms could be held accountable Less reliance on anonymous accounts and informal payment systems But legalization/regulation wouldn’t magically solve everything. Potential problems Privacy and identity leaks could become even more damaging Blackmail and cybercrime could increase Exploitation and coercion could be difficult to detect Financial institutions would need clear compliance rules Age verification would be extremely important There could be social and workplace consequences for people whose identities are exposed Regulation could unintentionally create a formal market for something many people may still want to keep private And there’s an even bigger question: Should Nepal regulate the industry, prohibit it, or simply regulate the digital platforms and financial activity around it? Those are three very different approaches. My biggest takeaway I started this thinking I was simply learning about a weird corner of the internet. After talking to 8 people, I came away thinking it’s potentially a much bigger informal digital economy than most people realize. But I also think we need actual research before throwing around numbers like “Rs. 1 lakh a day” or “1 arba market.” Eight interviews can tell you that something exists. They cannot tell you how big it is. And honestly, that’s what I’d be interested in knowing next: How big is Nepal’s actual paid digital-content/VC economy, how much money moves through it, and what would happen if the government formally recognized and regulated it? Would love to hear from people who have actually worked around this industry especially about the economics, privacy issues, scams, taxation and how the market really operates.

Sales Reps Using SeamlessAI & ZoomInfo - Real-World Comparisons

Seamless.AI vs ZoomInfo: a detailed, honest comparison. What's better, and at what? I publish tool reviews and comparisons on marketintelligencetools.com, and I just finished a long head-to-head on SeamlessAI and ZoomInfo, which is a conflict when I'm the one asking people to weigh in on it. I want real experience on both sides here, not marketing pages, since both vendors' own comparison pages disagree with each other on basic facts. Scope is the first difference between them. SeamlessAI is a real-time contact search engine built around one job: pull a verified email and phone number the moment a rep needs one. ZoomInfo calls itself an AI go-to-market platform, with contact data as one layer inside intent scoring, conversation intelligence and workflow automation. For anyone who's run both, did that scope difference match how your team used them, or did one end up doing the other's job anyway? Free plans split the same way. SeamlessAI gives one user 50 credits with no credit card; ZoomInfo Lite grants 10 reveal credits at signup, with a 365-day re-export window on records already pulled. Neither runs a real sales process at that volume, but fifty one-time credits and ten are different bets on how fast a team decides to pay. Paid pricing is unpublished on both sides. ZoomInfo's median contract on Vendr is $33,500 a year across 1,012 tracked deals, and SeamlessAI carries no Vendr listing at all to check a quote against. https://preview.redd.it/l4xqmswuhwnh1.png?width=1200&format=png&auto=webp&s=d9b14bd8c068d445b9b1bd604f19be51b6148817 Data accuracy gets messy on both vendors' own domains. SeamlessAI claims "90% accurate" backed by a 10-step real-time verification check; ZoomInfo claims "up to 95%" from a pipeline of automated collection, partner data and more than 300 human researchers. Neither publishes a bounce rate. Database size tells the same story. SeamlessAI's product pages cite 1.3 billion contacts while its own homepage claims 1.8 billion verified emails and "2B+ leads researched." ZoomInfo does the same across three of its own pages: 500 million contacts on its data page, 420 million on its sales page, 300 million on its Copilot page, all live at once. If you've bought either, which figure did sales quote you, and did it match anything published? Both companies also run a comparison page naming the other directly, and reading them side by side turns up factual misses that should be easy to check. ZoomInfo's page, last updated 22 May 2026, describes SeamlessAI's free tier as "1,000 credits/year"; SeamlessAI's own pricing page says 50. ZoomInfo's page also cites a stale 4.2-out-of-5 G2 score for SeamlessAI; G2's own listing shows 4.4 across 5,356 reviews. Has anyone caught a vendor's own comparison page getting a competitor's numbers wrong like that, on any tool? https://preview.redd.it/7snantwuhwnh1.png?width=1200&format=png&auto=webp&s=04f5d3124d8c73fcf25e1c8f50986458555e2db4 Feature by feature, the split holds up. ZoomInfo's intent data, Guided Intent, ships built into the platform and tracks 210 million IP-to-company pairings; SeamlessAI's intent layer runs through a Bombora add-on that costs extra. SeamlessAI's job-change tracking ships free on every plan, with no named ZoomInfo equivalent. ZoomInfo runs Chorus for conversation intelligence, something SeamlessAI has no answer for. On CRM integration, ZoomInfo claims 120+ native, bidirectional connectors; SeamlessAI's own integrations page lists "120+" too, but tags most of them "Powered by Zapier," with only two true native integrations, HubSpot's Breeze Agent and n8n. If native, bidirectional CRM sync matters to your workflow, did a Zapier-routed integration ever cause a real problem, or is that a difference without a practical impact? https://preview.redd.it/fyn1ntwuhwnh1.png?width=1200&format=png&auto=webp&s=4223657dd62cf46eb126f6b2cca44377838657d3 ZoomInfo carries a documented legal history SeamlessAI doesn't: a $29,557,612.50 privacy class action settlement, Ramos v. ZoomInfo Technologies, over using people's names and job details to market subscriptions without consent, approved November 2024. ZoomInfo also trades publicly on Nasdaq under the ticker GTM; SeamlessAI is private and founder-led, with no legal history or funding disclosure turning up anywhere. G2 rates them close together: 4.4 for SeamlessAI across 5,356 reviews against 4.5 for ZoomInfo across 9,384. So, a few things I'd like to hear from people who've run either or both: where has SeamlessAI won out for your team, and where did ZoomInfo's extra layers (intent, conversation intelligence, native CRM sync) turn out to be worth the five-figure jump? Did you ever run both at once, for different reps or different use cases? And for anyone who switched from one to the other, what broke the tie? Full comparison, including all 32 documented limits, the pricing breakdown and the complete source list, is linked below. The affiliate links on that page are for SeamlessAI itself and for Lusha, one of the alternatives it covers. https://marketintelligencetools.com/compare/seamless-ai-vs-zoominfo/ Disclosure: I run this site. No ads. I'm just getting started testing a few affiliate links, low-key enough that they don't change what you see or how a page reads. No money from them yet, though that could change. I do the research because I find it interesting, it's good practice for my day job, found out that I like building sites from scratch in static HTML, and figured this sub's audience would get something out of it too.

marketintelligencetools.com logomarketintelligencetools.com

Ironman Merchandise Workers in Redding - Unpaid Wages After Event

Apprently some local Redding employees from the Ironman70.3 race didn't get paid for their time From Redding Now Facebook page: 🚨🚨🚨 DID THE IRONMAN EVENT IN REDDING, CALIFORNIA SCAM THESE WORKERS?! 🚨🚨🚨 🖤 PLEASE READ THE ENTIRE POST. THESE LOCAL WORKERS DESERVE ANSWERS. 🖤 THIS STORY IS ABSOLUTELY UPSETTING. IRONMAN in Redding, California, seemed to be a huge success, and our community really embraced this event. BUT WHAT ABOUT THE CONS OF THE IRONMAN EVENT AND THE LOCAL PEOPLE WHO SHOWED UP BEHIND THE SCENES, WORKED THEIR SCHEDULED HOURS, AND WERE PROMISED THEY WOULD BE PAID? 🚨 IMPORTANT CLARIFICATION: The workers involved in this story are LOCAL Redding area people. The company personnel who came to set up and run the event came from the IRONMAN company in Tampa, Florida. This is NOT about our locally owned Redding businesses or local businesses that supported the event. I was brought attention to this situation by one of my incredible Redding NOW followers, Chelsea Reed, who worked the event. ✨ Chelsea Reed shares: ✨ «“We really had so much fun and absolutely loved working in the event. We just wanna be paid for the work that we put in. And we advertised for this event on our social medias, had family and friends come down to purchase items. It’s just not fair that we put on all this work and have nothing to show for it.”» There are approximately 12 workers that we currently know of who worked the IRONMAN merchandising tent at the Redding Civic Center by the finish line, and NONE OF THEM HAVE BEEN PAID. ❌ The workers found a Facebook post with a link to sign up to work the IRONMAN event for $20 an hour. Once they signed up, they were contacted by HR employees to complete their onboarding paperwork through a UKG system. They entered their direct deposit information and were told they would be paid through direct deposit. The IRONMAN company sent people from their actual company in Tampa, Florida, to Redding to set up and run the event. There was a store manager named Justin who was in charge of the workers. Several of the workers worked their full schedule of 32.5 hours at $20 an hour. They were promised a paycheck no later than yesterday. YESTERDAY CAME. NO PAYCHECK. ❌💰 The workers tried to get answers, but say Justin wouldn't even provide them with a direct HR phone number. They eventually had to find the contact information themselves. They called the numbers they found but couldn't get anyone on the phone who could give them an actual answer. Eventually, they received a generic email saying there was an issue with the payroll system. Okay, payroll issues can happen. BUT WHEN ARE THEY GETTING PAID? They have no new payday, no timeframe and no clear explanation. Justin is now no longer responding to them regarding their unpaid wages, and that's incredibly frustrating. Most of these workers are single parents who took this job to earn additional income. Chelsea is one of those single moms. Her bank account is currently overdrawn, and she was really depending on this money to help support herself and her family. Her birthday is also this weekend, and she may have to cancel her plans because she's still waiting on money she was promised she would already have. 🖤 And she's not the only one affected. Several workers worked 32.5 hours at $20 an hour, which is $650 per worker. If all 12 workers worked the full schedule, that's approximately $7,800 collectively in wages. 💰 $7,800. That's money these local workers earned by showing up and doing the work they were hired to do. So if IRONMAN in Redding was such a huge success, why can't these workers simply be paid the money they earned? This isn't money they're asking for. THEY JUST WANT TO BE PAID. 📸 The workers have screenshots of their schedule, roster, hours worked, emails and text messages regarding their pay. THESE SCREENSHOTS ARE FROM THE ACTUAL WORKERS AND SHOW AN ONGOING SITUATION HAPPENING RIGHT NOW. Last names have been blurred out for privacy. There's also another worker named Tyler who received completely different information from one of the women helping run the event, who is also an IRONMAN manager. They have documentation and communication regarding that as well. At this point, the workers are starting to feel like they were scammed. But I want to be very clear: 🖤 THIS IS NOT ABOUT SAYING THE IRONMAN EVENT ITSELF WAS BAD FOR REDDING. I think the event was exciting. I think Redding embraced it. I think our community deserves opportunities like this. BUT A SUCCESSFUL EVENT SHOULD ALSO MEAN THE PEOPLE WHO WORKED IT ARE TREATED FAIRLY AND PAID FOR THEIR WORK. They're not asking for anything extra. THEY JUST WANT THE MONEY THEY WORKED HARD TO EARN. 💰 ⚠️ SO I'M ASKING IRONMAN PUBLICLY: 🚨 WHERE ARE THESE WORKERS' PAYCHECKS? ⏰ WHEN ARE THEY ACTUALLY GETTING PAID? ❓ WHY CAN'T ANYONE GIVE THEM A STRAIGHT ANSWER? If this is truly a payroll system issue, TELL THEM. If there is a date when they will be paid, TELL THEM. Please stop leaving people who worked this event wondering when or if they will receive the money they earned. These are real people. Real parents. Real families. Real bills. 🖤 And all they're asking for is what they were promised. 💰 THEIR PAYCHECKS. If you worked the IRONMAN merchandising tent in Redding, California, and still haven't been paid, please reach out to me. If you worked another IRONMAN position in Redding and had a similar experience, I want to hear from you too. 🚨🖤 PLEASE SHARE THIS POST SO WE CAN GET THE ATTENTION OF IRONMAN ITSELF AND HELP THESE WORKERS GET THE ANSWERS THEY DESERVE. 🖤🚨 Thank you so much for taking the time to read this. ❤️ I truly hope these workers get the money they earned and deserve. God bless. https://m.facebook.com/story.php?story_fbid=pfbid0FvfUy5zschrvypeDP28vGw8pttEgStYdyq2hbCSLYp3mWxcH9nsGe4UUkDd8i88rl&id=61570642808118&mibextid=CDWPTG

AI Governance Leads - De-Risking AI Adoption

⚡ Workday is in federal court over its AI hiring tools. A federal court has allowed key AI hiring discrimination claims to move forward, and has held that a technology vendor performing delegated hiring functions can potentially be treated as the employer's agent. The employer cannot call it a vendor problem. The vendor cannot say it only sells software. 👉 Here is what should concern every enterprise. That system almost certainly passed reviews. Security can review the controls. Legal can assess liability. Risk can sign off. Privacy, audit and the business can each reach a defensible conclusion. But those individual reviews do not automatically answer the enterprise question: Have the risks that actually matter been reduced enough for this AI system to proceed? Different functions seeing different risks is not a governance failure. That disagreement is healthy. The failure is when there is no mechanism for bringing those risk views, the evidence, and the residual exposure together into one defensible decision. An AI system can pass every review and still not have a risk-based approval decision. If your organization is wrestling with how to make that decision in practice, I would like to hear from you. I write about this in De-Risking AI Adoption, publishing September 15. Sign up for my newsletter and you will hear first when it is available, along with the thinking behind it. Link in the comments. #AIGovernance #AIRisk #AICybersecurity

Organisational Psychologists - Longitudinal Human Intelligence Study

I want to introduce an idea that is becoming increasingly important to our work at Emva: Longitudinal human intelligence. Organisations have become extraordinarily good at measuring outcomes. Performance. Engagement. Retention. Productivity. Absence. Wellbeing. But much of what we know about the humans producing those outcomes still comes from snapshots. A survey tells us how someone felt when we asked. An interview reconstructs what happened. A performance metric records the result. But human beings don't exist as snapshots. We move. Our emotional states change. We respond to environments. We recover. Patterns repeat. Behaviours reinforce one another. And across teams and organisations, some of those patterns eventually become culture. What becomes possible if we can study that movement over time? That's the idea I explore in this new article. I look at how longitudinal observation could give individuals, practitioners and organisations a different way of understanding human dynamics — moving from isolated states towardtrajectories. And then I take the argument further. What happens when longitudinal observation meets simulation? Observe → model → simulate → intervene → observe again. That creates something I'm particularly interested in: the possibility of testing computational models of human behaviour against what subsequently happens in the real world. Not simply generating convincing explanations. Testing hypotheses. Learning from interventions. Discovering where the model is wrong. And improving our understanding of human systems through evidence accumulated over time. There are profound opportunities here for organisational psychologists, coaches, wellbeing practitioners, researchers, People leaders and organisations navigating complex change. There are equally important questions around consent, privacy and the boundary between useful organisational intelligence and employee surveillance. I explore both. If you work with human systems — or lead one — I think this is worth reading. And if you believe your organisation, practice or research environment could contribute to this next stage of the work, I'd particularly like to hear from you. 👇 #LongitudinalHumanIntelligence #HumanSystems #OrganisationalPsychology #OrganisationalDevelopment #PeopleAnalytics #WorkplaceWellbeing #BehaviouralScience #EmotionalIntelligence #Leadership #FutureOfWork #Simulation #HumanScience #EMTM

Chile AI Security & Governance Experts - National AI Guide

🇺🇸 The challenge of AI is no longer simply adopting it. It is governing it when it starts to decide, recommend, and act. And that challenge cannot be addressed by a single organization, discipline, or country. From the AI Security & Governance Commission of the Chilean Chamber of Artificial Intelligence (CCHIA), together with its 36 members, we are developing the AI Governance & Security Guide for Chile. And we want to bring into this process the perspectives of experts from Chile and around the world. 🌎 Why open this conversation? Because a guide that aims to become a meaningful reference must connect operational experience, research, regulation, security, and industry expertise. We want to hear from those who are currently: → Implementing AI across large organizations and startups → Protecting systems, data, and critical infrastructure → Shaping public policy and regulation → Conducting research at universities and academic institutions → Assessing legal, ethical, and societal risks → Auditing automated systems → Building AI models, platforms, and agents → Making decisions across boards, technology, risk, compliance, data, and cybersecurity We do not want this guide to remain at the level of principles alone. We want it to help answer questions that are already reaching boards, CISOs, developers, auditors, and regulators: ❓ Who is accountable when an automated system makes the wrong decision? ❓ What controls should be in place before AI goes into production? ❓ How should we govern AI agents capable of taking actions across real-world systems? ❓ What evidence should a board, regulator, or auditor require? ❓ How do we protect data, people, and organizations without slowing innovation? Our ambition is clear: Chile should not only stand out for adopting Artificial Intelligence. It should also be able to demonstrate that the AI it uses is secure, governable, and auditable. And we believe that a national reference of this nature must be built by listening to diverse voices. If you work in AI, AI Security, cybersecurity, data governance, privacy, regulation, compliance, audit, risk, ethics, public policy, academia, infrastructure, model development, or agentic AI systems, whether in Chile or anywhere in the world: we want to hear your perspective. 👉 Comment “GUIDE” or send me a DM to participate in the collaboration and review process. 🔁 And if you know someone whose expertise should be represented in this conversation, share this post or tag them in the comments. We do not want to build a guide simply to talk about the future of AI. We want to build a guide that is useful for those already facing it. 🇨🇱

Data Stewards - Collibra Alation Purview Atlan Informatica IBM

THE BEST DATA GOVERNANCE PLATFORM DOESN’T EXIST. Collibra. Alation. Microsoft Purview. Atlan. Informatica. IBM. Ask which one is best and you’ll probably get six different answers. And strangely enough, they may all be right. Because the better question isn’t: “Which Data Governance platform is best?” It’s: “Which one is right for the governance problem we are trying to solve?” I took a closer look at six of the major options and what they are emphasizing today. Collibra Governance is at the center: stewardship, policies, workflows, catalog, lineage, data quality and increasingly AI governance. Alation Strong emphasis on helping people find, understand and trust data through discovery, catalog, governance, lineage and data quality. Microsoft Purview Especially relevant to Microsoft-heavy environments, with Data Map and Unified Catalog supporting domains, data products and data health alongside Microsoft's broader security and compliance capabilities. Atlan Built around active metadata, lineage, collaboration and governed context — increasingly including the context AI systems need to work safely with enterprise data. Informatica A broader enterprise data-management ecosystem where governance sits alongside catalog, lineage, data quality, privacy, MDM and integration. IBM watsonx.data intelligence Brings governance and catalog, data quality, lineage and data products together to provide trusted business context for enterprise data and AI. But product capabilities are only half the story. The part I'm much more interested in is the part we rarely see in a product demo: What happened when you actually implemented it? Did people adopt it? Did your Data Owners and Stewards actually use it? What took longer than expected? What looked easy in the demo but wasn't? What do you love about it? What drives you crazy? And the big one: Did the technology make governance better — or did it simply digitize governance problems you already had? That's why I haven't ranked these platforms. Different architecture. Different maturity. Different people. Different regulatory environments. Different problems to solve. Different answer. If you've actually worked with Collibra, Alation, Purview, Atlan, Informatica or IBM, I'd love to hear from you: What is ONE thing you know now that you wish you'd known before implementation? Let's build the part of the comparison the vendor websites can't give us. #DataGovernance #DataManagement #DataCatalog #DataQuality #DataLeadership

Student Content Creators - Algorithmic Pressure From TikTok & YouTube

CALL FOR SOURCES | STUDENT CONTENT CREATORS & ALGORITHMIC PRESSURE FROM TIKTOK AND YOUTUBE Are YouTube and Tiktok boosting creators views in their lowest moments? For an upcoming investigative feature for the NCTJ Excellence Awards, I am looking to speak with student content creators about how platform recommendation algorithms interact with personal mental health or highly emotional videos on TikTok and YouTube. Many creators report a frustrating cycle: when they post a raw, vulnerable video during a tough period at university, the algorithm rewards it with thousands of views. But when they try to heal and post normal, happier content, their reach suddenly plummets, leaving them with an unspoken pressure to "stay sad” online just to maintain an audience or cover tuition. Backed by recent social science research from the University of Iowa regarding algorithmic grievance loops, this piece shifts the lens away from viral luck and onto the algorithms of big tech social media platforms. Your privacy is my absolute priority. In accordance with ethics and IPSO guidance on sensitive health disclosures, all case studies can be fully anonymized with pseudonyms to protect your personal and professional future. **How to reach out:** > Want to get involved or want more information? Drop me a DM here or email me directly at [email redacted] for a totally informal, no-pressure chat. Even if you just want to ask a few questions first, my inbox is open. #journalism #investigativejournalism #mentalhealth #universitylife #contentcreator

Pastors & Ministry Leaders - AI Use, Ethics & Congregational Trust

I am working on the next edition ofBeyond the Prompt, and my research has taken me into a different setting: the church. Research already exists that examines artificial intelligence and the church, and some churches and ministry organizations have begun considering how AI can be adopted responsibly. I am interested in what is happening beyond the research. What are you actually seeing in churches? Are churches using AI in their day-to-day operations? Are pastors and staff receiving training? Are policies being developed to address privacy, transparency, or the use of congregational information? Who is making decisions about when AI should and should not be used? I am also interested in the ministry implications. How are churches distinguishing between AI used for administrative support and its use in pastoral or spiritual functions? What happens to trust when AI-generated material enters ministry without disclosure? COVID accelerated digital transformation for many churches. AI may represent another significant technological transition, raising new questions about organizational readiness, leadership, ethics, and trust. I would especially like to hear from pastors, ministry leaders, church staff, technology professionals, and church members. What is your experience? What questions should churches be asking now that they may not be asking yet? #BeyondThePrompt #ArtificialIntelligence #ChurchLeadership #ResponsibleAI #ChangeManagement

Veterans Nationwide 2020-Present - VA FOIA & Disruptive Behavior

I just published a new article asking a question that deserves a documented answer: 𝑾𝒉𝒂𝒕 𝒉𝒂𝒑𝒑𝒆𝒏𝒔 𝒘𝒉𝒆𝒏 𝒂 𝒗𝒆𝒕𝒆𝒓𝒂𝒏 𝒆𝒙𝒆𝒓𝒄𝒊𝒔𝒊𝒏𝒈 𝑭𝑶𝑰𝑨 𝒐𝒓 𝑷𝒓𝒊𝒗𝒂𝒄𝒚 𝑨𝒄𝒕 𝒓𝒊𝒈𝒉𝒕𝒔 𝒃𝒆𝒄𝒐𝒎𝒆𝒔 𝒆𝒏𝒕𝒂𝒏𝒈𝒍𝒆𝒅 𝒘𝒊𝒕𝒉 𝒕𝒉𝒆 𝑽𝑨’𝒔 𝑫𝒊𝒔𝒓𝒖𝒑𝒕𝒊𝒗𝒆 𝑩𝒆𝒉𝒂𝒗𝒊𝒐𝒓 𝑷𝒓𝒐𝒈𝒓𝒂𝒎? I am looking for veterans nationwide who, 𝐟𝐫𝐨𝐦 2020 𝐭𝐨 𝐭𝐡𝐞 𝐩𝐫𝐞𝐬𝐞𝐧𝐭, had a FOIA request, Privacy Act request, records-amendment effort, or records-access dispute intersect with a 𝐃𝐢𝐬𝐫𝐮𝐩𝐭𝐢𝐯𝐞 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫 𝐂𝐨𝐦𝐦𝐢𝐭𝐭𝐞𝐞, 𝐃𝐁𝐑𝐒 𝐫𝐞𝐩𝐨𝐫𝐭, 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐏𝐚𝐭𝐢𝐞𝐧𝐭 𝐑𝐞𝐜𝐨𝐫𝐝 𝐅𝐥𝐚𝐠, 𝐎𝐫𝐝𝐞𝐫 𝐨𝐟 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐑𝐞𝐬𝐭𝐫𝐢𝐜𝐭𝐢𝐨𝐧, 𝐨𝐫 𝐰𝐨𝐫𝐤𝐩𝐥𝐚𝐜𝐞-𝐯𝐢𝐨𝐥𝐞𝐧𝐜𝐞 𝐩𝐞𝐫𝐬𝐨𝐧𝐧𝐞𝐥. This is not speculation. I have already identified six veterans across three VISNs whose records-access matters intersected with the disruptive-behavior system. Four of those matters involved the same FOIA/Privacy official over a period of years. The article explains why that pattern matters. VA has provided a national-office declaration describing aspects of how DBRS has functioned from 2024 forward. But that leaves an important 2020–2024 gap in which the process has not been comparably certified. I want to determine what actually happened during that period—and whether veterans subjected to disruptive-behavior monitoring were also routed through a specialized or coordinated process when they attempted to access or correct the records being maintained about them. The goal is evidence, not accusation. If the pattern has an ordinary administrative explanation, the records should show that. If it reflects a national practice affecting veterans’ Privacy Act rights, the records should show that too. Either way, veterans should be able to find out what information the government keeps about them, who can retrieve it, how it is used, and how an inaccurate record can be challenged. Please read and share the article. If your own VA records-access experience from 2020 to the present involved DBRS, a DBC, a behavioral flag, or VA workplace-violence personnel, I would especially like to hear from you. Do not place private medical information or identifying documents in the public comments. #Veterans #PrivacyAct #FOIA #VeteransAffairs #DBRS #VAAccountability #PatientRights #GovernmentTransparency #CivilLiberties

Architects & Therapists - Childhood Home Influences On Adult Spaces

I've been thinking about a question that sits at the intersection of psychology, design, and our relationship with the built environment: What did you create in your adult home that was missing from the home you grew up in? Maybe it was privacy. Beauty. Stability. Order. Nature. Warmth. A place to retreat. A table where people gather. Space to make things. Or simply the freedom to decide what your surroundings looked and felt like. I'm becoming increasingly interested in the possibility that some of what we think of as aesthetic preference may also have a personal history—and in how the environments we create can contribute to psychological safety, restoration, and nervous-system regulation. ThroughSpatial Instincts, I'm beginning an independent interview and writing project exploring these questions more deeply. I'm interested in hearing from people who recognize this pattern in their own lives, and I'd also love to connect witharchitects, designers, psychotherapists, environmental psychologists, neuroscientists, researchers, artists, and educatorswhose work intersects with these ideas. I'm especially interested in conversations around personal history and place, psychological safety, sensory experience, environmental psychology, neuroaesthetics, and the ways environments can support well-being. If this connects with something you've experienced, studied, designed, or observed professionally, I'd love to hear from you.

Miami Elevator Engineers & Roboticists - Humanoid Elevator Priority

MIAMI 2035: THE HUMANOID CITY — EPISODE 2 WHO GETS THE ELEVATOR? 🤖🛗🏙️ Here’s the first practical problem I keep coming back to: If humanoids become common in high-rise living, how do they move vertically without making life worse for humans? This is no longer completely theoretical. KONE already has technology allowing service robots to call and operate elevators autonomously. Schindler has developed robot-building logistics systems designed to let autonomous robots move through elevators and buildings. So parts of the technology already exist. But are our buildings—and our rules—ready? Imagine a 40-story Brickell tower. 500 residences. Eventually, perhaps 100 households have humanoids. At 8 AM, residents are leaving for work while robots are collecting groceries, delivering packages, or moving between floors. Who gets priority? A humanoid-ready tower may eventually need: • Robot-to-elevator communication • Independent machine credentials • Human-priority scheduling • Robot waiting areas • Floor-by-floor permissions • Emergency overrides • Congestion management And maybe we eventually need something entirely new: An Autonomous Mobility Core A dedicated circulation system for humanoids, deliveries, and robotic building services. Or maybe intelligent scheduling lets humans and humanoids safely share the same elevators. Then comes the harder question. An elderly resident, a parent with a stroller, and three humanoids are waiting. Who goes first? Should human priority be written into the software? Should the HOA decide? The developer? The robot manufacturer? Or local government? That is what Miami 2035: The Humanoid City is about. Starting the infrastructure conversation before the technology arrives at scale. I want to hear from elevator engineers, architects, developers, roboticists, accessibility experts, condo professionals, and policymakers: 1. Should humanoids share passenger elevators? 2. Should humans always have priority? 3. Should future towers have dedicated robot circulation? 4. Who should establish the rules? 5. What problem am I not thinking about yet? I’m developing these conversations into a broader Humanoid-Ready Building framework for Miami, and I’m looking for people willing to challenge, improve, and collaborate on the idea. NEXT: DOES YOUR ROBOT NEED A KEY? Identity. Access. Privacy. And who gets permission to go where. #Miami2035 #HumanoidCity #HumanoidRobotics #MiamiRealEstate #Brickell #FutureOfCities #SmartBuildings #PropTech #AI #PhysicalAI #Robotics #Architecture #UrbanPlanning #MiamiDevelopment #ConTech #FutureLiving

Never Miss a Privacy Journo Request

Get instant alerts when Privacy journalists post new journo requests. Join the community of sources landing media opportunities daily.