2024-08-23 One-Minute Post

Healthcare organizations are appointing Chief AI Officers to ensure ethical and transparent AI systems. Perplexity AI plans to run ads while addressing privacy concerns. Regulators are focusing on real AI risks like bias and discrimination. Accenture and AWS collaborate to scale AI adoption responsibly, addressing bias risks. APAC is addressing bias in AI applications to mitigate health disparities. AI’s potential in healthcare is a double-edged sword, raising concerns about fairness. New research questions the fairness and effectiveness of AI in mental health diagnosis. The accuracy vs. fairness tradeoff in AI-based lending is a concern for the industry.

Articles we found interesting:

1. The newest member of the health system C-suite? Chief AI Officer | Healthcare IT News link Highlight: The CAIO ensures that AI systems are developed and deployed ethically, transparently and responsibly. To do so, the CAIO oversees data privacy …
2. Perplexity AI plans to start running ads in fourth quarter as AI-assisted search gains popularity link Highlight: Perplexity AI, the artificial intelligence startup that's been … California Consumer Privacy Act (CCPA) Opt-Out Icon Your Privacy Choices …
3. Monitoring The Risks That Come With Using Artificial Intelligence In Home-Based Care link Highlight: However, AI models rely on large data sets to learn, train and evolve, which can lead to privacy concerns. “Home care agencies are actively reaching …
4. Regulators are focusing on real AI risks over theoretical ones. Good - The Economist link Highlight: … artificial intelligence (AI) that outwits its human creators … AI, such as bias, discrimination and violation of intellectual-property rights.
5. Accenture and AWS Collaborate to Help Organizations Scale Adoption of AI Responsibly link Highlight: … AI risks, such as bias and hallucinations, and implement compliance requirements with new and evolving AI regulations. According to Accenture …
6. APAC's growing focus on genAI and more briefs | MobiHealthNews link Highlight: … bias in AI applications widening disparities in health outcomes." To mitigate its risk, leaders look to make AI more transparent, ensure diversity …
7. The potential of AI in healthcare: A double-edged sword link Highlight: Artificial intelligence (AI) is transforming healthcare, but is it a … fairness of AI systems. Patients should be informed about how their …
8. Could AI discriminate when it comes to mental health? - FMT link Highlight: … ai-ls. New research raises crucial questions about the fairness and effectiveness of AI technology as it pertains to mental health diagnosis and …
9. In AI-based lending, is there an accuracy vs. fairness tradeoff? | American Banker link Highlight: If efforts to make AI-based loan decision models less discriminatory degrade accuracy, that is problematic for the entire industry.

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