2024-11-19 One-Minute Post

2024, Nov 19    

Meta is introducing AI features to Ray-Ban Meta glasses in Europe, while also addressing GDPR privacy law concerns. California is undergoing formal CCPA rulemaking related to AI and privacy. Lawmakers are focusing on fostering AI growth while safeguarding privacy and fairness. The Department of Labor has released an AI & Inclusive Hiring Framework to combat algorithmic bias. Virtual Staffing Careers is revolutionizing hiring with an AI-driven, bias-free process. Forbes discusses the impact of AI on healthcare and the pressing concern of bias in AI adoption.

Articles we found interesting:

  • 1. Meta brings certain AI features to Ray-Ban Meta glasses in Europe - TechCrunch link Highlight: Also at issue for the company are provisions in the GDPR, the EU's privacy law, pertaining to AI training. Meta trains AI models, including the …

  • 2. California's Privacy Regulatory Odyssey Continues: Formal CCPA Rulemaking on … - Wilson Sonsini link Highlight:Privacy Act (CCPA) regulations related to cybersecurity audits, automated decision-making technology (e.g., artificial intelligence (AI)), privacy …

  • 3. After passing a few AI laws in 2024, this state's legislature might have more in store next session link Highlight: As lawmakers, it is our duty to foster an environment where AI can thrive while safeguarding against risks that could undermine privacy, fairness and …

  • 4. DOL's AI Hiring Framework Offers Employers Helpful Guidance on Combatting Algorithmic Bias link Highlight: On 24 September 2024, the Department of Labor (DOL) announced the publication of the “AI & Inclusive Hiring Framework” (Framework) to “support the …

  • 5. Virtual Staffing Careers Partners with Micro1 to Revolutionize Hiring with Fully AI-Driven Process link Highlight: Skill and Behavioral Matching: AI technology assesses candidates for skill compatibility and company value alignment. Bias-Free Selection: AI …

  • 6. Generative AI Meets CQL: Four Ways AI Can Impact Healthcare - Forbes link Highlight: One of the most pressing concerns in AI adoption is bias, particularly in healthcare, where disparities can have severe consequences. Integrating CQL …

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)