2024-08-21 One-Minute Post

AI researchers are calling for “personhood credentials” to distinguish between humans and bots. Meanwhile, a new explainable AI model has been developed to reduce bias in antibiotic development. Additionally, Singapore’s Cyber Security Agency has unveiled new guidelines to enhance AI security, focusing on cybersecurity risks and fairness. Responsible AI development is being emphasized, considering ethical concerns like privacy, bias, and fairness.

Articles we found interesting:

1. AI researchers call for “personhood credentials” as bots grow smarter - The Washington Post link Highlight: But without better ways to make that distinction, advances in artificial intelligence mean AI … privacy or anonymity. They propose a system of “ …
2. How AI Will Impact Governance, Risk And Compliance Programs - Forbes link Highlight: With 15+ years in the field, Matt serves as VP of Security and CISO at Drata, leading global security, IT, GRC and privacy initiatives.
3. Parents Cautiously Optimistic on AI in Schools: Content Safety and Data Privacy Among Top Worries link Highlight: Parents express concern over AI in education: Survey reveals 93% worried about classroom use. Learn Norton's cybersafety tips for back-to-school, …
4. Peering into the mind of artificial intelligence to make better antibiotics | ScienceDaily link Highlight: Aug. 8, 2023 — Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in …
5. Deloitte survey reveals enterprise generative AI production deployment challenges link Highlight: … bias, security, trust, privacy and regulatory compliance. While these are not entirely new domains, Norton emphasized that there are nuances to gen AI …
6. Why social science is vital to developing ethical AI - Silicon Republic link Highlight: Professor and researcher in AI and civil law, Cecilia Danesi discusses the changing face of AI and the issue of inherent bias.
7. Building trust in AI commercialization: Prioritizing security standards - ET Edge Insights link Highlight: Responsible AI development means considering ethical concerns like privacy, bias and fairness. For instance, imagine an AI-powered loan …
8. Singapore: Cyber Security Agency unveils new guidelines to enhance AI security link Highlight: The Guidelines support the securing of AI systems throughout their lifecycle, with a focus on cybersecurity risks rather than AI safety, fairness, …
9. Navigating AI Governance: Insights into Ethical and Effective AI Implementation link Highlight: Opinion: AI is reshaping industries, making strong governance crucial to balance innovation and ethics, ensuring transparency, fairness, …

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)