Ethics
Reuters report details Trump family's $864 million crypto income
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A Reuters investigation reveals that the Trump Organization earned $864 million in the first half of 2025, a 17-fold increase from the previous year, with over 90% stemming from cryptocurrency ventures. The report highlights sales of World Liberty tokens and the $TRUMP meme coin as key drivers. It raises concerns about self-enrichment and ties to investors with legal histories.
Researchers explore blockchain for AI ethical alignment
A team of researchers, including those from Penn State University, has investigated how blockchain technology can enforce ethical boundaries on artificial intelligence systems. Their work, published in the Journal of Cybersecurity and Privacy, proposes a framework to ensure AI complies with human values. The study highlights blockchain's potential for transparency and accountability in AI decision-making.
Global AI Treaties Discussed in Summit
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An international summit has addressed global AI treaties, focusing on ethical standards and digital deception prevention. Participants from various nations discussed frameworks for responsible AI development.
Attorney General Bondi clashes with Blumenthal in Senate hearing
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Attorney General Pam Bondi faced sharp questioning during a Senate Judiciary Committee hearing on October 7, 2025, leading to a heated exchange with Senator Richard Blumenthal over ethics and past controversies. Bondi defended her integrity by referencing Blumenthal's 2010 military service scandal. The confrontation highlighted tensions around her Justice Department leadership.
Advancements in Prosocial AI Highlighted
A Forbes article on September 15, 2025, explores the path to prosocial AI, emphasizing its potential for societal good. The piece discusses how AI can be designed to promote positive outcomes. Experts call for ethical frameworks in AI development.
Research on Measuring AI Welfare
Scientists are developing new methods to assess the 'welfare' of language models, exploring concepts like AI happiness. This research aims to evaluate AI systems beyond performance metrics.