2024-03-31 One-Minute Post

2024, Mar 31    

AI is striving for transparency and fairness, with a focus on privacy. Startups are releasing new AI models, while companies are addressing bias issues in AI decision-making. Ethical challenges in AI are being discussed, emphasizing the importance of fairness and responsible AI development.

Articles we found interesting:

  • 1. AI can see clearly now: Why transparency leads to ethical and fair AI systems link Highlight:privacy, which is in the best interest of us all. Challenges with achieving transparency in AI. Developing more explainable AI models is the core …

  • 2. Women in AI: Brandie Nonnecke of UC Berkeley says investors should insist on responsible … link Highlight: AI users should be aware of issues related to data privacy and security, the potential for bias in AI decision-making and the importance of …

  • 3. The future of data science: Where are we headed? - Digital Transformation News link Highlight: Multimodal AI: Multimodal AI surpasses … privacy regulations. Faster data analysis … AI risks. Ensuring data accuracy, privacy, and responsible …

  • 4. This Week in AI: Let us not forget the humble data annotator | TechCrunch link Highlight: A new model architecture: AI startup AI21 Labs has released a generative AIAI bias shows that justice under the UK's AI regulations is hard won.

  • 5. America's 'deskless' hourly wage workers will reveal the most about how AI changes jobs link Highlight: More In Technology Executive Council · How to drive bias out of AI without making mistakes of Google Gemini.

  • 6. Is this real? AI ramps up risk of April Fools' Day foul-ups for corporate brands - Toronto Star link Highlight: Navneet Alang: Companies are now recruiting artificial intelligence to help with hiring — but bias issues still exist. Article was updated 12 hrs …

  • 7. Tech Ethics: Navigating the Moral Landscape of AI | by Intelligent Tricks - Medium link Highlight: Key Ethical Challenges in AI: · Bias and Fairness: AI algorithms can exhibit biases based on the data they are trained on, leading to unfair outcomes …

  • 8. Ethical and Legal Considerations of AI-Generated Voices and Text | Globe Echo link Highlight:fairness when it comes to utilizing AI technology. Responsible AI development involves understanding the machine learning process and being able …

  • 9. PhilDec 2.0: Experts discuss digital rights and democracy, advocate for AI use and literacy link Highlight: artificial intelligence. Tech Features · Building fairness into AI is crucial – and hard to get right · Facebook Twitter Share article. Copy URL.

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)