2024-02-07 One-Minute Post

2024, Feb 07    

Welcome to One-Minute-AI-Fairness-And-Privacy! In 2024, consumer privacy is a top priority, with the “Bring Your Own Data” approach gaining traction. Australian organizations are focusing on building trust with consumers over data and AI, emphasizing the need for self-regulation. Meanwhile, in government, AI law, use cases, and challenges are being explored, with a spotlight on the impact of bias and misinformation on accuracy. On the other hand, there are growing concerns about the potential for bias in generative AI tools, as Congress gears up to leverage them. As AI continues to advance, the focus on privacy, bias, and fairness remains crucial in various sectors, driving the need for proactive measures and regulations.

Articles we found interesting:

  • 1. Navigating the AI Landscape in 2024: Prioritizing Ground-Truth Data, Developer … link Highlight: In 2024, consumer privacy takes center stage, particularly in the context of an election year. The “Bring Your Own Data” (BYOD) approach allows …

  • 2. A Bird's Eye View Of Large Language Model Security - Forbes link Highlight: Artificial intelligence technology concept with AI text on electronic circuit board. … privacy breaches. Generation Of Malicious Content. A palpable …

  • 3. Australian Organisations Need to Build Trust With Consumers Over Data & AI link Highlight: Self-regulation may be a necessary step for Australian organisations to maintain trust from customers that they are prioritising data privacy.

  • 4. AI in Government: AI Law, Use Cases and Challenges - Industry Insider link Highlight: Bias and misinformation impact accuracy … If an AI model pulls from data sources with biased or inaccurate information, its output will also be biased …

  • 5. Bill proposed regarding the use of AI by Wisconsin State Agencies - WEAU link Highlight: They say we still have a …

  • 6. How Congress is gearing up to take advantage of generative AI - Nextgov/FCW link Highlight: There are also concerns about the accuracy and potential for bias of generative AI tools and the potential for them to be slotted in as a …

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)