2024-08-24 One-Minute Post

Meta and Spotify CEOs criticize EU AI regulations for stifling innovation due to stringent privacy rules. US and African nations discuss responsible AI use in military applications, acknowledging inherent human bias in AI systems. Meanwhile, 1 in 5 top companies mention generative AI in their financial reports, highlighting concerns about bias and security. Additionally, hardware’s role in ensuring fairness of artificial neural networks is being explored, aiming for a fair digital world.

Articles we found interesting:

1. EU AI rules stifle innovation, Meta and Spotify CEOs warn - Cointelegraph link Highlight: … AI. Both CEOs argue that the stringent privacy regulations surrounding AI, especially those concerning the use of public data, are slowing down …
2. ZeroTrusted.ai's Free Health Checker Exposes Hidden Vulnerabilities - FOX40 link Highlight: … privacy, reliability, and governance of AI technologies. The company's AI Governance System (AGS) and other solutions meet the highest standards in AI …
3. Perplexity's pitch deck offers advertisers a new vision for AI search - Digiday link Highlight: However, the deck doesn't list any third-party measurement partners for measurement or how it plans to protect privacy. … Why the convergence of AI, …
4. US, African Nations Discuss Responsible AI Use in Military Applications - Bitcoin.com News link Highlight: “We've learned the hard way [that there is] inherent human bias built into the AI system … leading to maybe misinformation being provided to the …
5. 1 in 5 top companies mention generative AI in their financial reports, but not in a good way link Highlight: The risks weren't necessarily just within the context of bias, security, or other AI maladies. Failure to keep current with AI developments was …
6. Will AI replace technical writers? One user's experience | TechTarget link Highlight: AI bias. AI can exhibit bias based on its training data and source material, leading to skewed or imbalanced outcomes. These biases might stem …
7. How hardware contributes to the fairness of artificial neural networks - Tech Xplore link Highlight: As AI models increasingly deploy on resource-constrained devices, such as mobile and edge devices, we realized that the underlying hardware could …
8. Breaking AI Echo Chambers: AdCounty Media CRO on Algorithmic Bias and Digital Diversity link Highlight: … fair digital world. 1 …
9. We train AI. AI might be training us, too, WashU researchers find - St. Louis Post-Dispatch link Highlight: Still, “people were willing to sacrifice reward to make the AI more fair,” said Chien-Ju Ho, a researcher and assistant professor of computer science …

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