2024-09-18 One-Minute Post
Tech giants are gaining an edge in generative AI, raising concerns about data privacy. Meanwhile, URAC launches updated telehealth accreditation with new standards on AI, diversity, equity, and privacy. On the other hand, bias in AI predictive analytics and gender bias in generative AI image creation are being revealed, highlighting the need for fairness and inclusivity in AI technologies.
Articles we found interesting:
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1. Experts Expect Limited Competition in Generative AI Industry - PYMNTS.com link Highlight: New research suggests tech giants may gain an edge in generative artificial intelligence (AI) … Data privacy emerges as a critical issue in a …
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2. URAC Launches Updated Telehealth Accreditation with New Standards on Artificial … - Morningstar link Highlight: … Artificial Intelligence, Diversity, Equity and Inclusion and Data Privacy … AI use, inclusivity and privacy in telehealth. About URAC. Founded in …
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3. Unlocking the Potential of Generative AI in Pharma | Alvarez & Marsal link Highlight: The Dark Side of Gen AI: Uncover potential risks and ethical concerns, including data privacy, harmful content generation, legal and copyright issues, …
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4. Role of AI Predictive Analytics in Supply Chain Management - Data Science Central link Highlight: Bias characteristics of AI could be a challenge as the precision made by AI predictive analysis could be biased for the organization's regulations.
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5. Australian researchers reveal gender bias in GenAI image creation - Cyber Daily link Highlight: Images created by generative artificial intelligence tend to present male figures over women, and a lack of ethnic diversity.
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6. Artificial Intelligence - Statetimes link Highlight: AI systems often learn from historical data, which can include inherent biases based on race, gender, socioeconomic status, and more. For instance, if …
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