2024-11-07 One-Minute Post

Tech policy is set for changes post-election, with a focus on AI and data privacy standards. Trump 2.0 is expected to revamp AI and pull back on antitrust, while ASIC urges financial firms to strengthen governance as AI adoption accelerates. Ethical AI in marketing and the need for fairness, transparency, and ethical guidelines in AI adoption are also in the spotlight. Additionally, a groundbreaking partnership between an AI tech giant and Tokyo University aims to revolutionize education while promoting fairness in AI algorithms. The push for responsible AI usage and guarding against bias in AI models is evident, with a focus on addressing issues of privacy and bias in regulated industries.

Articles we found interesting:

1. Tech policy likely set for changes after election - Roll Call link Highlight: … artificial intelligence, data privacy and other areas of … AI, as well as bipartisan legislation to create a federal data privacy standard.
2. AI Helped Me: Creating a tool for marketing briefs in minutes in a regulated industry link Highlight: Obviously regulatory needs were top of mind. Data privacy, I'm sure, was a huge issue. Walk me through how you addressed some of those issues. Barr: …
3. Making sure AI is used responsibly at NSF - Nextgov/FCW link Highlight: Meet Dorothy Aronson, the division director and chief data officer serving as the assistant chief information officer for AI at the National …
4. Tech Giants Brace for AI Revamp, Antitrust Pullback in Trump 2.0 - Bloomberg link Highlight: He's also supported open-source technology to guard against perceived left-wing bias in AI models. Antitrust Enforcement. A second Trump …
5. ASIC urges financial firms to strengthen governance as AI adoption accelerates link Highlight: … bias, and an even smaller number have frameworks in place to inform consumers about AI usage. Longo warned that insufficient governance in these …
6. Ethical AI In Marketing: Balancing Automation With Human Values - Forbes link Highlight: Bias And Discrimination. AI algorithms leverage datasets provided by the programmer to learn and train how to respond to new inquiries. The …
7. AI adoption and Ethical Considerations - Industry News | The Financial Express link Highlight: "As AGI technology evolves, companies must prioritize fairness, transparency, and ethical guidelines, with clear actions at every stage of AI …
8. Groundbreaking Partnership: AI Tech Giant Teams Up with Tokyo University to … - elblog.pl link Highlight: This involves safeguarding student data and promoting fairness in AI algorithms. – Future Prospects: According to a recent report, the AI education …
9. Your Resume Rejected by AI? - The Himalayan Times link Highlight: … fairness in the AI training itself. For instance, AIF360 (AI Fairness 360) is a toolkit developed by IBM that facilitates bias mitigation …

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