2024-05-17 One-Minute Post

AI technologies are facing data privacy risks, leading to the need for reduced data leakage. The rise of AI brings legal and privacy considerations, prompting the Colorado State Legislature to pass a bill for potential broad regulation. Employers are urged to involve workers in AI plans to address bias and discrimination. Inclusive metadata in AI and heritage requires more than erasing stereotyping terms to combat biases. Challenges in AI implementation include risk aversion, lack of transparency, and fairness concerns. The AI regulatory landscape emphasizes fairness, explainability, and accountability. Efforts are being made to ensure fairness and address potential implicit bias in AI-based activities.

Articles we found interesting:

1. How to Reduce Data Leakage Risks of ChatGPT and Copilot AI - CPO Magazine link Highlight: … AI technologies, businesses can leverage the benefits of AI while ensuring the security and privacy of their corporate data. - Advertisement -.
2. The 'AI Revolution' Comes with Data Privacy Risks: What Consumers Should Know | New … link Highlight: This article covers the legal and privacy considerations related to the rise of artificial intelligence. The authors discuss what AI is and how …
3. Colorado State Legislature Passes AI Bill With the Potential to Broadly Regulate AI link Highlight: For more updates and analyses of current developments in AI, data privacy and cybersecurity, please subscribe to the WilmerHale Privacy and …
4. Employers should include workers in AI plans, DOL says | HR Dive link Highlight: In 2022, the Biden administration published a blueprint for addressing bias and discrimination by automated technologies including AI. STORYLINE // AI …
5. Learnings from 'AI and heritage': inclusive metadata requires more than erasing stereotyping terms link Highlight: One of the biggest problems researchers and cultural heritage practitioners highlight is how LOD reflects biases in the data it is based on, and can …
6. Unified API Recall pulls conversational data from Zoom and Google Meet to power AI bots link Highlight: … AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here. Enterprises bullish on …
7. AI Revolution: Overcoming Challenges in Regulated Industries - Spiceworks link Highlight: The 5 Challenges of AI Implementation · 1. Risk aversion · 2. Lack of transparency · 3. Bias and fairness concerns · 4. Regulatory compliance · 5.
8. AI regulation in APAC: tips on risk and control mechanisms for businesses - Lexology Pro link Highlight: The AI regulatory landscape showcases a set of common AI principles deriving from hard and soft AI laws – fairness, explainability, accountability, …
9. Ensuring fairness and addressing potential implicit bias in AI based supervisor - YouTube link Highlight: Ensuring fairness and addressing potential implicit bias in AI-based supervisory activities Speakers: Melissa Koide, CEO, FinRegLab Lukasz Kubicki …

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