2024-07-24 One-Minute Post

Meta warns EU regulatory efforts risk bloc missing out on AI advances, while MIT researchers advance automated interpretability in AI models to audit for safety and biases. KPMG prioritizes fairness and sustainability with their Trusted AI Framework. A California federal court allows a discrimination lawsuit against an AI-based workplace screener. Protests spark a debate on fairness and ethics in technology-driven hiring, raising concerns over AI’s role in job recruitment. MIT researchers argue that randomization can improve fairness when allocating scarce resources with AI. AI models’ poor management leads to decision bias and AI hallucinations, emphasizing the need for cleaner data curation. Privacy teams are exploring ways to manage AI and leverage GDPR compliance for AI deployment.

Articles we found interesting:

• 1. Protecting Data Privacy as a Baseline for Responsible AI - YouTube link Highlight: … AI (https://www.csis.org/analysis/protecting-data-privacy-baseline-responsible-ai) ,” a new Critical Questions by CSIS's Caitlin Chin-Rothmann.

• 2. Meta warns EU regulatory efforts risk bloc missing out on AI advances - Financial Times link Highlight: Comments come after privacy watchdog asks Facebook owner to pause training of future AI models on region's data.

• 3. How should privacy teams manage AI? It takes a village - Slaughter and May link Highlight: And even better, how can they leverage GDPR compliance and existing governance processes to assist with AI deployment? Role of the Privacy team. As …

• 4. AI Workplace Screener Faces Bias Lawsuit: 5 Lessons for Employers and 5 … - Fisher Phillips link Highlight: A California federal court just allowed a frustrated job applicant to proceed with an employment discrimination lawsuit against an AI-based vendor …

• 5. Curating Cleaner Data In Messy Multimodal Modals - Forbes link Highlight: In some of the messiest cases, poorly managed AI models lead to decision bias and so-called AI hallucinations. We might also say that AI can be a …

• 6. MIT researchers advance automated interpretability in AI models link Highlight: Interpreting the mechanisms underlying AI models enables us to audit them for safety and biases, with the potential to deepen our understanding of the …

• 7. KPMG: Using the AI 'Genie' to Drive Sustainability & Equity link Highlight: David Rowlands, KPMG's Global Head of AI, explores KPMG's Trusted AI Framework, prioritising fairness and sustainability & why corporate …

• 8. Study: When allocating scarce resources with AI, randomization can improve fairness link Highlight: MIT researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, …

• 9. Can AI See Beyond Biases In Hiring Practices? - The Pinnacle Gazette - Evrim Ağacı link Highlight: Protests highlight growing concerns over AI's role in job recruitment, sparking a debate on fairness and ethics in technology-driven hiring.

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)