2025-04-19 One-Minute Post

AI systems are being regulated to ensure privacy and fairness in the workplace. MineOS releases an AI tool for automated data privacy management. Digital racism is confronted, demanding reparations for bias in AI and digital platforms. Keith Call discusses the hazards of AI, including bias, at a judges conference. Governments are urged to reduce bias in AI models to transform public sector services. AI is being used to combat tariff evasion, with a focus on algorithmic fairness. Ethical considerations in AI development are emphasized for lowering risks and biases. AI tools in arbitration must ensure fairness, as fairness cannot be computed but must be experienced justly.

Articles we found interesting:

• 1. No Robo Bosses: Proposed Legislation to Curb AI in the Workplace - Law Offices of Snell & Wilmer link Highlight: … privacy, and fairness. As AI systems become more sophisticated and widespread, the potential has grown significantly for ADS to make employment …

• 2. Threats to Digital Privacy—and Ways to Protect It | Tufts Now link Highlight: “Our understanding of privacy will have to evolve” because of rapid changes in today's era of big data and artificial intelligence, Cao says. In the …

• 3. MineOS Releases AI Agent for Automated Data Privacy Management link Highlight: MineOS has launched an AI-powered privacy management tool to streamline regulatory compliance tasks for privacy, compliance and legal teams.

• 4. Chavis Confronts Digital Racism And Demands Reparations At U.N. Forum - The Seattle Medium link Highlight: … bias embedded in artificial intelligence and across digital platforms. … AI, and any form of digital bias and algorithmic discrimination …

• 5. Keith Call Talks AI Use at Utah State Court District Judges Conference - Spencer Fane link Highlight: … AI for Judges. Keith examined six hazards of artificial intelligence: inaccuracies or “hallucinations”; bias; deception, fraud, and misinformation …

• 6. The AI imperative: 5 steps to transforming public sector services - Gulf Business link Highlight: To build ethical AI systems, governments should: Reduce bias: AI models must be trained on diverse, representative datasets to prevent discrimination.

• 7. Bridging the Gap: Applying Anti-Money Laundering Techniques and AI to Combat Tariff Evasion link Highlight: Artificial Intelligence: The Game-Changer in Tariff Evasion Detection. AI … Algorithmic Fairness: AI systems must be designed and monitored to …

• 8. AI for Good: Ethical Considerations in the Age of Artificial Intelligence - Programming Insider link Highlight: Artificial intelligence (AI) … In addition to lowering risks and biases, responsible AI development ensures accountability, transparency, and fairness.

• 9. Consent Asymmetry, Synthetic Neutrality In Arbitration,When AI Tilts The Scales Of Justice link Highlight: Artificial intelligence (AI) tools are increasingly used in … Fairness cannot be computed; it must be experienced, and experienced justly.

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