2024-07-21 One-Minute Post

2024, Jul 21    

AI is being used to de-identify patient data for research, ensuring privacy. Paris’s use of AI for security raises concerns about privacy. To address AI bias, there’s a call for more diversity in data. Ethical concerns about AI’s impact on fairness, privacy, and bias are being raised. A startup is advocating for responsible AI principles, emphasizing fairness and privacy.

Articles we found interesting:

  • 1. De-identifying patients with AI: Ensuring patient privacy while enhancing research link Highlight: AI generated synthetic data that mimicks real patients ensures that healthcare data can be used safely for research without risking patient privacy.

  • 2. The case for decentralized compute in AI link Highlight: By democratizing access to computational resources, enhancing data privacy, and leveraging emerging technologies, decentralized AI can offer a robust …

  • 3. With AI, jets and police squadrons, Paris is securing the Olympics — and worrying critics link Highlight: Campaigners for digital rights worry that Olympic surveillance cameras and AI systems could erode privacy and other freedoms, and zero in on people …

  • 4. There's a simple answer to the AI bias conundrum: More diversity | VentureBeat link Highlight: How can we proactively mitigate AI bias and create less harmful models if the data we train them on is inherently biased?

  • 5. Big data, social media and artificial intelligence will poison the 2024 election link Highlight: Now comes artificial intelligence and with it, automation biasAI. His genius is manipulation. Technology is his friend, altering or swapping …

  • 6. The Role of Artificial Intelligence in Shaping Our Future - elblog.pl - Decoding AI link Highlight: As AI becomes more sophisticated, ethical dilemmas emerge regarding issues such as algorithmic bias, privacy violations, and autonomous decision- …

  • 7. Responsible AI Principles. As Artificial Intelligence or AI become… | by Hirdesh Baghel - Medium link Highlight: FairnessFair to all groups of people · Reliability and Safety — Continues working under high loads, unexpected situations etc. · Privacy and Security …

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)