2024-07-06 One-Minute Post

Meta AI on Facebook raises privacy concerns. New Jersey introduces AI training with heightened privacy protections. Rapid deployment of AI entrenches biases in government systems. Healthcare industry grapples with model bias in AI adoption. Singapore establishes guidelines for securing AI, addressing fairness and transparency. AI systems embedded with biases affecting fairness. Ethical dilemmas in AI technologies call for solutions to uphold fairness and transparency.

Articles we found interesting:

1. How to turn off Meta AI on Facebook comment summaries - USA Today link Highlight: … privacy concerns from users who do not want what they write online fed into the Meta AI system for machine learning and generation. Want to opt …
2. How Manufacturers Can Use AI to Help Manage the Workforce Shortage - JD Supra link Highlight: Many companies are spending money on artificial intelligence (AI) to address this issue to compensate for labor shortages. … Privacy Tip #404 – July …
3. N.J. Unveils AI Training, Tool for State Government Workers link Highlight: To ensure its security, the tool is hosted on state infrastructure with heightened security and privacy protections. The tool does not use state data …
4. New government, new approach to IT? - Computer Weekly link Highlight: “Rapid deployment of AI and automated decision-making systems are entrenching biases, leading to inaccurate, discriminatory impacts,” she says. “ …
5. Is the healthcare industry ready for generative AI? Nurses say no, Kaiser Permanente begs to differ link Highlight: The healthcare industry as a whole has long grappled with data governance, privacy, model bias and inconsistent standards in its efforts to adopt AI …
6. AI and Legal Risk: A Perfect Storm | The Legal Intelligencer - Law.com link Highlight: Another example is the potential for there to be bias in the AI tool, which can create HR risks for companies using such tools in recruiting or …
7. Singapore's security agency establishes guidelines for safe AI - Cryptopolitan link Highlight: The guidelines will address issues like bias, fairness and transparency in AI systems. Ensuring ethical use of AI technologies is essential to …
8. AI Bias: Causes, Impacts, and Mitigation Strategies - Analytics Insight link Highlight: Nevertheless, it has also been discovered that some AI systems have embedded biases that have important consequences affecting the results, fairness, …
9. The Rise of Evolved Artificial Intelligence Technologies - elblog.pl - Decoding AI link Highlight: Solutions must be sought to navigate these ethical dilemmas and uphold standards of fairness and transparency in AI applications. Advantages and …

Updated Everyday by: (Supriti Vijay & Aman Priyanshu)