2024-08-20 One-Minute Post

IBM’s privacy chief highlights US lagging in AI regulation. Alvarez & Marsal discusses navigating pressures for responsible AI. Forbes explores AI, federated learning, and blockchain for medical use cases. Generative AI mitigates representation bias and improves model fairness. Study suggests humans alter behavior when training AI for fairness. AI plays a transformative role in the renewable energy sector, emphasizing fairness and transparency. Tala advocates for responsible and transparent AI adoption in lending, prioritizing fairness, transparency, and data privacy.

Articles we found interesting:

1. Euronews Digital Summer: US lagging Europe on AI regulation - IBM privacy chief link Highlight: Montgomery is tasked with overseeing the company's global privacy, data and AI governance program. She is a member of the United States' National AI …
2. AI Ethics Part One: Navigating Pressures for Responsible AI | Alvarez & Marsal link Highlight: With AI systems becoming more powerful and widespread, the risks of ethical oversights—such as bias, discrimination, privacy violations, and …
3. Harnessing AI, Federated Learning And Blockchain For A Better Future In Medical Use Cases link Highlight: Artificial intelligence (AI) is poised to … This preserves patient confidentiality and aligns with privacy regulations like GDPR and HIPAA.
4. Generative AI Mitigates Representation Bias and Improves Model Fairness Through … - medRxiv link Highlight: Several approaches have been developed to mitigate representation bias, ranging from simple resampling methods, such as SMOTE, to recent approaches …
5. Humans Might be Altering Their Behavior When Training AI, According to This Study - iHLS link Highlight: … AI for fairness. The study, published in Proceedings of the National Academy of Sciences, included five experiments, with 200–300 subjects each …
6. Transformative Role of AI in Renewable Energy Sector - Shia Waves link Highlight: Artificial intelligence (AI) is … Experts stress the importance of fairness and transparency in AI operations to mitigate these risks.
7. Tala pushes for responsible and transparent AI adoption in lending | Inquirer Technology link Highlight: Gastl also expounded on the importance of ensuring utmost fairness, transparency and data privacy in AI-driven lending practices, acknowledging …

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