2025-04-29 One-Minute Post

FTC updates children’s privacy rule. Microsoft releases Recall AI feature after security concerns. NIST to address AI-cyber challenges. Ethical and regulatory maze around AI. Concerns about AI risks. Workplace AI fairness. Avoiding ethical red flags in AI projects. Bias in generative AI. Attracting and retaining female tech talent. Risks of rushing to use AI.

Articles we found interesting:

1. FTC unveils updated children's privacy rule - SC Media link Highlight: Accelerated advancements in artificial intelligence were noted by OpenAI CEO Sam Altman to be a significant challenge in creating and adopting privacy …
2. Forthcoming NIST profile to address growing AI-cyber challenges - Nextgov/FCW link Highlight: … AI by focusing on risk reduction, defense strategies and improved privacy. Cybersecurity and intelligence officials have argued that AI systems …
3. Microsoft releases Recall AI feature following delay over security concerns - Tech Monitor link Highlight: Originally unveiled in May 2024, Microsoft's Recall faced criticism for potential privacy risks, prompting the company to postpone its launch and …
4. Navigating the ethical and regulatory maze around using AI - New Electronics link Highlight: As AI and automation become increasingly prevalent in manufacturing, the potential for algorithmic bias to influence quality control processes is a …
5. 6 Ways to Attract And Retain Female Tech Talent - I by IMD link Highlight: Bias in Generative AI: A risk that must be addressed now · Putting boardroom gender balance plans to the test. Authors. Sarah Toms. Sarah E. Toms.
6. Today's AI Risks Are Scarier Than Doomsday Predictions, Study Finds - SciTechDaily link Highlight: A new University of Zurich study shows that people are more concerned about the immediate risks of AI, like bias and misinformation, than about …
7. You Must Build Workplace AI Behind A Veil Of Ignorance - Forbes link Highlight: But as we embrace AI to optimize operations, the question of fairness is receiving insufficient attention: How do we guaranty the tools we …
8. Think about the risks before rushing to use AI | FMT link Highlight: Blindly accepting AI's output for convenience can also compromise fairness. AI systems learn from the data they are fed, and if this data contains …
9. How to Avoid Ethical Red Flags in Your AI Projects - IEEE Spectrum link Highlight: For instance, there are many different definitions of fairness in AI. Determining which definition applies requires consultation with the affected …

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