2025-05-09 One-Minute Post

AI is reshaping workplaces, but concerns about privacy and discrimination persist. Organizations are focusing on HIPAA compliance for AI in digital health, while the UN calls for gender bias avoidance in AI. The role of Chief AI Officer is emerging to manage risks like data privacy and model bias. In healthcare, AI’s impact on bias and equity for Black patients is under discussion. Additionally, there is a growing emphasis on fairness, accountability, transparency, and ethics in AI, with a structured approach to ethics in AI projects. IAB Australia has launched an AI Working Group to provide practical industry guidance on AI use, bias, and fairness.

Articles we found interesting:

1. Risk Management in the Modern Era of Workplace Generative AI - McDermott Will & Emery link Highlight: … privacy, AI regulations, and employment claims – specifically, alleged disparate impact discrimination and wage and hour infractions. This article …
2. HIPAA Compliance for AI in Digital Health: What Privacy Officers Need to Know link Highlight: Artificial intelligence (AI) is rapidly reshaping the digital health sector, driving advances in patient engagement, diagnostics, and operational …
3. CurioAI Series AI & IP: Data in AI: The fuel that powers innovation (03/08) - Lexology link Highlight: At the heart of the privacy debate is the human element: individuals whose data fuels AI models. Often, data is harvested from publicly available …
4. UN Calls for Artificial Intelligence to Avoid Replicating Historical Gender Bias link Highlight: Women and girls are being urged to take a leading role in the development and implementation of technology and artificial intelligence (AI) tools …
5. The Chief AI Officer: What Is It and Who Needs One? | Dice.com Career Advice link Highlight: That means aligning emerging technologies with corporate objectives, managing complex risks like data privacy and model bias, and leading cultural …
6. AI in Healthcare: Risks and Benefits for Black Californians - The Sacramento Observer link Highlight: California lawmakers and experts discuss the impact of AI on healthcare, focusing on bias and equity for Black patients.
7. Examining the Expanding Role of Synthetic Data Throughout the AI Development Pipeline link Highlight: FATE: Fairness, Accountability, Transparency & Ethics in AI. Research Areas. Artificial intelligence. Research Labs. Microsoft Research Lab - New York …
8. AI Maturity in Financial Services - Lessons - I by IMD link Highlight: … fairness in AI projects. This structured approach to ethics creates the foundation for responsible innovation. Visa approaches ethical AI through …
9. IAB Australia launches AI Working Group to provide practical industry guidance link Highlight: … AI use, bias and fairness. The need for a local working group was recently highlighted by the IAB US State of Data report which found that full-scale …

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