2024-07-03 One-Minute Post

Meta is ordered to stop training its AI on Brazilian personal data, raising privacy concerns. Meanwhile, AI is training on kids’ photos despite strict privacy settings. On the fairness front, a new study proposes a radical fairness framework to address AI bias. Additionally, a podcast discusses the challenges of eliminating bias in AI decision-making. IBM explores vulnerabilities in AI models to evaluate social bias, emphasizing the importance of fairness in AI. The fast-developing world of AI ethics is also being discussed, focusing on transparency, fairness, and privacy. Overall, the intersection of AI, privacy, and fairness continues to be a hot topic with ongoing developments and challenges.

Articles we found interesting:

1. Meta ordered to stop training its AI on Brazilian personal data - The Verge link Highlight: Meta said in a statement to the AP that its updated policy “complies with privacy laws and regulations in Brazil,” and that the ruling is “a step …
2. Brazil Blocks Meta from Using Local Data to Train AI Models - Maginative link Highlight: This has raised alarm bells among privacy advocates and regulators, particularly given the vast trove of personal data at Meta's disposal. (Btw, …
3. AI trains on kids' photos even when parents use strict privacy settings - Ars Technica link Highlight: Human Rights Watch (HRW) continues to reveal how photos of real children casually posted online years ago are being used to train AI models …
4. AI bias solved? New study proposes radical fairness framework link Highlight: A new study proposes a way to avoid biases in decisions made by AI like deciding who gets a new mortgage or hired for a job.
5. Study finds lower rates of breast reconstruction among American Indian/Alaska Native women link Highlight: "Complicating the healthcare environment in which AI/AN receive medical care is chronic underfunding of the Indian Health Service (IHS), implicit bias …
6. Thinking About Thinking - Econlib - EconTalk Podcast Archive link Highlight: 3- Felin argues that using AI to make rational decisions is a fool's game, as is the idea of being being able to rid AI of bias. Why are biases a …
7. Exploring Vulnerabilities in LLMs: A Red Teaming Approach to Evaluate Social Bias link Highlight: Generative AI has caused a paradigm shift in the area of Artificial Intelligence (AI) … Fairness, Accountability, Transparency · Human-Centered AI …
8. “Who can we trust?”: How to keep up with the fast-developing world of AI - CMI link Highlight: In June, CMI presented 'Navigating AI Ethics: Transparency, Fairness, Privacy and Beyond', a fascinating event hosted by Dr Tirath Virdee, an AI …
9. All in on AI, Understanding AI Bias & Fairness - Sanofi link Highlight: Fairness is the idea that all human beings are of equal moral status and should be free from discriminatory harm.*The goal of fairness in AI is to …

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)