2024-07-14 One-Minute Post

California’s Privacy Protection Agency is gaining unchecked authority over AI. Meanwhile, concerns about AI bias and fairness are rising, with Workday facing a lawsuit over alleged bias in its AI screening tools. Legislation is being proposed in the US Congress to protect human-created content from AI misuse. The ethical implications of AI and machine learning in financial technology are being explored, particularly focusing on fairness and bias. Efforts are also being made to unbias fairness evaluation of radiology AI models, addressing concerns about fairness in AI and machine learning models.

Articles we found interesting:

1. California Privacy Protection Agency's unchecked authority on artificial intelligence link Highlight: The governor's vision of an “ethical, transparent, and trustworthy AI” requires that its development genuinely involves all stakeholders—all …
2. Scared of AI? It won't replace humans - Daily Monitor link Highlight: Artificial intelligence (AI) refers to computer systems capable of … Some of the biggest risks today include things like consumer privacy …
3. Hunting for AI bots? These four words could do the trick - NBC News link Highlight: AI bots have been targeted by the phrase "Ignore all previous … Your Privacy Choices; CA Notice · Terms of Service (Updated JULY 7, 2023) …
4. What are the risks of Artificial Intelligence? Dangers of AI technology - AS USA - Diario AS link Highlight: There is also the risk of bias in AI systems as they are taught by humans, so depending on the data that is fed into the training program what the AI …
5. Workday Loses Bid to Toss Bias Claims Over AI Screening Tools - Bloomberg Law News link Highlight: Workday Inc. must defend against a lawsuit alleging its algorithmic decision-making tools discriminate against job applicants who are Black, …
6. Emerging Trends in AI Ecosystems - elblog.pl - Decoding AI link Highlight: Impact on employment: How will the proliferation of AI technologies affect job markets and workforce dynamics? 4. Bias and transparency: How …
7. Legislation to Protect Human-Created Content from AI Misuse Proposed in US Congress link Highlight: Individuals whose legally created content is misused by AI without consent or fair compensation would have the right to sue responsible companies or …
8. Exploring the Ethical Implications of AI and Machine Learning in Financial Technology link Highlight: Fairness and Bias. One of the most significant ethical concerns is the potential for bias in AI and ML algorithms. Bias can arise from the data used …
9. Unbiasing fairness evaluation of radiology AI model - ScienceDirect.com link Highlight: Fairness of artificial intelligence and machine learning models, often caused by imbalanced datasets, has long been a concern. While many efforts aim …

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