2024-07-09 One-Minute Post

Microsoft’s Xandr ad-tech subsidiary is under fire for inaccurate data, while Citi advises taking profits in AI highfliers. Concerns over AI safety, privacy, and deepfakes are growing, prompting the need for threat modeling in AI products. China is advocating for international cooperation on AI to address bias and privacy risks. Major tech companies are warning of AI risks, including biased datasets, in SEC filings. AI and big data governance face challenges in ensuring fairness and preventing discrimination. Addressing AI bias is crucial for HR leaders to achieve better outcomes and foster trust.

Articles we found interesting:

1. Microsoft ad-tech subsidiary is breaking EU law—and not doing right by advertisers, privacy … link Highlight: Microsoft's Xandr holds loads of inaccurate and conflicting data about people, casting the accuracy of its ad targeting into doubt, …
2. Citi says take profits in AI 'highfliers,' gives safe alternatives if tech shares start to fall - CNBC link Highlight: It's time for investors to consider taking profits in some high-flying artificial intelligence names, according to Citi.
3. AI: Get AI's mojo back intelligently - The Economic Times link Highlight: As AI emerged, it was met with optimism, but soon concerns over AI safety, explainability, data privacy, and deepfakes overshadowed the excitement …
4. How CISOs can apply threat modelling to AI products in four steps - TechRadar link Highlight: This requires thinking beyond accidental errors and focusing on stopping deliberate attacks, biased outputs, and the potential for manipulation. By …
5. Opinion | Why China is pushing so hard for international cooperation on AI link Highlight: … AI safety. Attendees discussed key risks in AI such as bias, infringement on intellectual property rights and private data, military use and …
6. Major Tech Companies Are Quietly Warning of A.I. Risks in SEC Filings | Observer link Highlight: Biased datasets. A surge in copyright infringement claims. These are just some of the scenarios major tech companies have put forward as potential …
7. AI and Big Data Governance: Challenges and Top Benefits - AiThority link Highlight: Fairness ensures that AI systems do not reflect bias or result in discrimination. This is the principle that will assure stakeholders about the …
8. A Survey of Controllable Learning: Methods, Applications, and Challenges in Information Retrieval link Highlight: … AI models, ensuring aspects like security, fairness, and interpretability. This technique effectively ensures the system meets specific …
9. Why addressing AI bias is mission critical for HR leaders | UNLEASH link Highlight: All of this means that addressing bias in AI is not just about fairness; it's about achieving better outcomes, fostering trust, and ensuring an …

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)