2024-07-17 One-Minute Post

The rapid advancement of AI technology is driving the urgent need for federal privacy laws. Meanwhile, concerns over bias in AI systems are growing, with language and gender bias affecting search results. Organizations are emphasizing the responsible and fair use of AI, with a focus on addressing bias in training data and ensuring fairness and impartiality in AI systems. As the industry grapples with these challenges, the DOE has announced a roadmap for AI initiatives that prioritize safety, security, trustworthiness, and privacy. In this evolving landscape, policymakers are pushing for privacy legislation despite opposition, underscoring the complex interplay between AI, privacy, and fairness.

Articles we found interesting:

1. Advancement of AI is Accelerating the Need for a Federal Privacy Law - The HIPAA Journal link Highlight: Now, with the rapid advancement of AI technologies, federal data privacy protections are an even more pressing matter. Get The FREE HIPAA Compliance …
2. Cantwell says she'll cut path for privacy bill despite opposition - Roll Call link Highlight: In the absence of a federal privacy law, 18 states have enacted privacy … AI systems as early as 2026,” Cantwell said. “So without a strong …
3. DOE Announces Roadmap for New Initiative for Artificial Intelligence in Science, Security … link Highlight: … AI systems at scale and promote safety, security, trustworthiness, and privacy. DOE has already demonstrated early successes with AI for …
4. The answer to your Google search may depend on where you live - Harvard Gazette link Highlight: Why is language bias showing up in AI-powered searches? … Biases in existing training data are unavoidable — issues with gender bias and racial bias …
5. Goldman Sachs On Generative AI: It's Complicated - ETF Trends link Highlight: Generative AI in its current iteration faces a number of notable limitations. From concerns over bias and overtly incorrect responses to outright …
6. Considerations for the Responsible Use of Generative AI in Healthcare link Highlight: However, many generative AI tools out there lack transparency regarding the data sets they're trained on, which could lead to biases. As the industry …
7. How To Craft A Company Policy For The Acceptable Use Of AI - Forbes link Highlight: Fairness: Fairness in AI involves addressing bias in training data to ensure that AI systems treat all individuals fairly and impartially. As …
8. Data Curation Practices to Minimize Bias in Medical AI | by Fima Furman | Jul, 2024 link Highlight: To mitigate AI bias, it is important to understand how model bias and fairness are defined (PDF) and measured. A fair/unbiased model ensures its …
9. Mozilla's Policy Vision for the new EU Mandate: Advancing Openness, Privacy, Fair … link Highlight: For laws like the Digital Services Act (DSA), the Digital Markets Act (DMA), the GDPR, and the AI Act to realise their full potential, we strongly …

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)