2024-04-23 One-Minute Post

AI can predict political orientation from blank faces, posing serious privacy challenges. Microsoft hires former Meta exec to bolster AI supercomputing team. Congress takes on TikTok, privacy, and AI. Intel announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI, focusing on bias mitigation. Elon Musk’s AI-generated news faces accuracy issues. Measuring algorithmic bias to analyze the reliability of AI tools that predict depression risk. Evolution, application, and auditing of Artificial Intelligence emphasize fairness in insurance underwriting. Navigating AI in HR requires ethical and bias-mitigation strategies for fairness. The ethical crossroads of AI-generated design highlights the importance of mitigating bias for fairness.

Articles we found interesting:

1. AI can predict political orientation from blank faces — posing 'threatening' privacy challenges link Highlight: Researchers are warning that facial recognition technologies are "more threatening than previously thought" and pose "serious challenges to privacy …
2. Microsoft hires former Meta exec to bolster AI supercomputing team - The Verge link Highlight: He handled AI, data, and privacy infrastructure, as well as managing the company's server budgets, according to his LinkedIn profile. Taylor was …
3. Congress takes on TikTok, privacy, and AI | The Vergecast - YouTube link Highlight: Today on the flagship podcast of forced app divestiture: The Verge's David Pierce and Lauren Fiener discuss the latest tech policy bills floating …
4. Intel Announces Hala Point – World's Largest Neuromorphic System for Sustainable AI link Highlight: It has the potential to enhance the capabilities of AI models in terms of energy efficiency, bias mitigation, interpretability, and adaptability.
5. Elon Musk has AI-generated news now and it's already led to plenty of blunders link Highlight: Accuracy seems to be a larger issue than bias in this case. Here are the strangest mistakes Grok has made at interpreting the news so far.
6. Measuring algorithmic bias to analyze the reliability of AI tools that predict depression risk … link Highlight: We first identified subgroups where a developed AI tool underperformed by measuring algorithmic bias, where subgroups with depression were incorrectly …
7. Evolution, Application And Auditing Of Artificial Intelligence - Forbes link Highlight: Insurance Underwriting: Regulatory oversight ensures fairness in AI applications within the insurance industry, with state-specific regulations …
8. Navigating AI in HR: 5 questions every HR leader must ask - HR Executive link Highlight: What ethical and bias-mitigation strategies are in place to ensure fairness? AI algorithms are only as unbiased as the data on which they are trained.
9. The Ethical Crossroads of AI-Generated Design: A Must-Read for Graphic Designers link Highlight: Mitigating Bias: Designing for Fairness. AI algorithms learn from data. If the training data is biased or reflects societal prejudices, these biases …

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