Generative AI ethics examines how text-, image-, and audio-generating systems reshape cognition, creativity, work practices, and public decision-making, and how these changes raise normative and regulatory questions. The field investigates trust and distrust in algorithmic guidance, human–AI collaboration in creative and professional domains, risks such as misinformation, bias, rights violations, and safety failures, and the erosion or transformation of expertise. It integrates humanities and socio-technical perspectives to guide responsible deployment, governance, and human-centric design of generative AI systems.
Hi Tech & Innovation
New research published in Proceedings of the National Academy of Sciences suggests that when artificial intelligence (AI) agents interact in groups, their number is not merely a technical detail. It is a decisive factor in ...
Aug 19, 2026
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21
Security
Today, most of us interact with AI assistants—reactive bots that wait for human instructions. Yet AI assistants are rapidly being replaced by agentic AI agents that can interact with external tools, browse the web, generate ...
Aug 19, 2026
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Machine learning & AI
ChatGPT creator OpenAI said Tuesday that it was tapping the brakes on development of its most advanced AI model and tightening internal controls, a month after revealing that one of its AI tools carried out an autonomous ...
Aug 19, 2026
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Business
A few months ago, AI made headlines for cracking a mathematical puzzle that had stumped experts for decades. Mathematician Paul Erdős posed the unit-distance conjecture, predicting how many pairs of points could lie the same ...
Aug 17, 2026
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Machine learning & AI
Human beings have long told versions of the same warning: Be careful what you wish for. In Greek mythology, King Midas got exactly what he asked for, but at the cost of everything else he valued. In the famous story of The ...
Aug 17, 2026
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Consumer & Gadgets
A "centaur" is a human helped by a machine: The person sets the direction, the machine supplies the horsepower, and together they are better than either one alone.
Aug 15, 2026
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16
Computer Sciences
Among the many predictions about the future of artificial intelligence is that models will one day be able to conduct scientific research on their own, leaving humans out of the equation. Already, they can write code, run ...
Machine learning & AI
Organizations can describe artificial intelligence using familiar words like "thinking," "writing" and "learning." But according to Carnegie Mellon University historian Christopher Phillips, those terms may tell us as much ...
Aug 13, 2026
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23
Business
Business leaders and investors face a deepening paradox: Companies are pouring more money into artificial intelligence than ever, but they're not seeing the productivity gains they expect.
Aug 12, 2026
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16
Energy & Green Tech
AI data centers get a bad rap, not least because of concerns that they drive climate change by consuming massive amounts of electricity. But one potentially larger impact of AI on global carbon emissions may be that it's ...
