The Wild West of AI: Risks and Trends in Data Privacy

I never understand why companies go out of their way to ignore user privacy requests. If anything, honoring them builds trust, while disregarding them only fuels frustration. Imagine, some businesses even hide opt-out pages or continue serving targeted ads after users have opted out—all at a time when 86% of Americans say they’re more concerned about privacy than the economy. That is a direct hit to customer loyalty. The better path is clear: embed privacy into products from the start, be transparent about how data is used, and collect only what’s truly needed. Techniques like federated learning or differential privacy prove that innovation and privacy can coexist. With global regulations like the EU’s AI Act threatening fines of up to 6% of revenue, ignoring privacy is bad business. Respecting privacy is a competitive advantage. I'm looking forward to this chat with Alex Cash, Melissa M. Reeve, Anthony Coppedge, and Adam Eisler on Navigating the chaos of consent, compliance and customer trust in an AI world during the MarTech Conference later this month.

Many tools store your chats to train models. But what if that includes sensitive info? Teach your audience about data privacy settings in AI tools. Hashtag: #AIPrivacyMatters

🚨 What if tech giants could no longer trade your personal data? Laura G. De Rivera shares with host Diana Daniels a bold vision: a world where privacy is finally protected, and algorithms stop manipulating our choices. This is the conversation every digital leader needs to hear. 👉 Want to dive deeper into the future of AI regulation and data privacy? Watch the full conversation NOW! 📺▶️ https://bit.ly/45ZtsyW 🔗 Discover more in Laura’s book “Slaves of the Algorithm”: https://bit.ly/3IqlMvT #FutureOfTech #ArtificialIntelligence #DataPrivacy #DigitalEthics #AIRegulation #DianaDaniels #LauraGdeRivera

“As we share more of our digital ‘selves’ with AI assistants, we feel empowered. However, the depth of the data that we share creates new privacy and legal questions. How secure is our data? And who else can access – or demand access – to our data?” https://lnkd.in/eA-b3FPi

🚨 Claude Privacy Update – Effective Sept 28 Claude will start using your chats to train its AI models by default (toggle set to ON). If you were prompted with the dialog and hit “Not Now”, you’ll see a message in Privacy settings saying “Review and accept updates to the Consumer Terms and Privacy Policy...” with a Review button. You must click Review to actually make your choice. Why it matters: ✅ Opt-in: Chats kept for 5 years and used for training ❌ Opt-out: Chats delete after 30 days ⏳ Forward-only: Your choice applies going forward. How to check/update: 1. Go to Settings under your profile 2. Open Privacy 3. Click Review, choose ON or OFF, then Accept Bottom line: Don’t let a missed click decide your data policy for the next five years. 📌 Sources linked in the comments.

Data Privacy & Governance in the AI Era > 🔏 When “Share” means “publish to the world.” Nearly 300 k Grok chatbot conversations—including medical queries and password advice—were indexed by Google due to the platform’s share feature. Users were never clearly told that sharing would make chats public. On the enterprise side, Microsoft is rolling out admin controls to restrict who can create org‑wide sharing links for Copilot agents, with general availability expected mid‑September. DarkGPT’s Take: AI platforms love shipping features before they’ve considered the privacy fallout; your private chat about a medical condition could be tomorrow’s search‑engine result. Governance is not an optional add‑on; it’s the baseline. Pro Tip: Treat any “share” feature as public until proven otherwise. In enterprise settings, use RBAC to control who can spin up AI agents and share them. Advocate for clearer consent and transparency from vendors—because “oops” isn’t a privacy policy. #ThinkB4UShare #AIPrivacy #SecureAI #DarkGPT #MrCIA

With AI and data sharing on the rise, data privacy is more critical than ever. Learn best practices for securing your data while performing advanced analytics.

🔐✨ Data Protection meets AI Innovation Excited to be speaking at the Bitkom Privacy Conference on September 11th on a topic that’s shaping our digital future: “Data Protection in the Age of AI” In my keynote, I’ll share how Microsoft is driving responsible AI development while staying true to our core commitment: protecting customer data. From advanced encryption and customer-controlled keys to our European digital commitments and the EU Data Boundary - we’re building AI that’s powerful AND trustworthy. If you're passionate about AI governance, data protection, and digital resilience, this session is for you. Let’s explore how we can innovate responsibly - together. #ResponsibleAI #DigitalTrust #EUDataBoundary 

When it comes to AI, execution and speed might get you ahead but trust wins the trophy 🏆 Building AI systems in critical industries like health-tech I quickly got trained and realized how detailed and intentional data privacy has to be - especially when compliance, reputation and user trust are on the line. I put together a guide on - - Systematic Approach on designing AI agents that users trust - Real-world breaches and regulatory moves - Technical and architectural safeguards that protect privacy and utility. Read Here - https://shorturl.at/E23qC

When storytelling meets data privacy! I love it when AI enables ease of turning your creative ideas into actual stuff. Here's the read - how to create awareness around data privacy using visual artefacts :) #dataprivacy