2024-09-29 One-Minute Post

2024, Sep 29    

AI-generated artwork copyright lawsuit, LinkedIn using data to train AI, China rejects unsafe AI, Salesforce introduces bias-free judge models, Barbados Centre for AI Innovation and Governance announced. Fairness in AI governance emphasized.

Articles we found interesting:

  • 1. Controversial AI-generated artwork the center of copyright lawsuit - 9News link Highlight: A digital artist who placed first at the Colorado State Fair for his AI-generated artwork was denied a copyright for the art … Privacy Policy · Ad …

  • 2. An AI mentor, robots, and a model that can 'brainstorm': Notable AI launches of the week link Highlight: AdvertisingPrivacyJobsTerms of Use. © 2024 G/O Media. Generation A.I.. An AI mentor, robots, and a model that can 'brainstorm': Notable AI launches of …

  • 3. LinkedIn Is Using Your Data to Train AI - Success Magazine link Highlight: The employment-focused social media platform is training its new AI on your data. Find out what this means for your privacy and how to opt out.

  • 4. Unsafe, Untested & Unreliable! Why China Rejects Responsible Use Of Artificial Intelligence link Highlight: States should take proactive steps to minimize unintended bias in military AI capabilities. 5. States should ensure that relevant personnel …

  • 5. Salesforce AI Introduces SFR-Judge: A Family of Three Judge Models of 8-Billion … - MarkTechPost link Highlight: One of the main limitations of using traditional LLMs as judges is their susceptibility to biases and inconsistencies. Many judge models, for instance …

  • 6. Minister Caddle announces new Barbados Centre for AI Innovation and Governance with … link Highlight:bias and misuse in AI. But, merely striving to be 'ethical' is not enough. Our transnational Centre for AI Innovation & Governance seeks to marry …

  • 7. AI Governance: Navigating the Complexities of AI Technologies with Vyoma Gajjar link Highlight: Fairness: AI systems should make decisions that are free from bias or discrimination. Achieving fairness in AI requires rigorous testing of algorithms …

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)