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.
Automotive
What happens when artificial intelligence gets it wrong? From self-driving cars to medical tools, rapid advances in AI are raising new ethical and legal concerns.
Apr 23, 2026
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Business
If you give artificial intelligence a goal of maximizing profit, how far will it go? AI agents appear capable of lying, concealing, and colluding, according to new research from Harvard Business School.
Apr 22, 2026
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Security
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models (LLMs) could expand ...
Apr 22, 2026
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Consumer & Gadgets
Much of the current conversation about AI assumes uptake is inevitable, more technology means better outcomes and the main task is managing risk.
Apr 22, 2026
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Machine learning & AI
American AI developer Anthropic said Tuesday it was investigating unauthorized access to Mythos, its powerful model which the company itself worries could be a boon for hackers.
Apr 22, 2026
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Software
New research in Contemporary Economic Policy reveals that generative artificial intelligence tools like GitHub Copilot may lead to more, not fewer, jobs in the software engineering workforce.
Apr 22, 2026
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Machine learning & AI
A new academic study says the most effective use of artificial intelligence may be to strengthen human thinking and decision-making, rather than replace it. Published in the Journal of Knowledge Management, the paper examines ...
Apr 21, 2026
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Machine learning & AI
What do the large language models behind human-like conversational AI really know and what does it mean to live alongside them?
Apr 20, 2026
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Machine learning & AI
American AI developer Anthropic plans to "lay the risks out on the table" even as it restricts deployment of a new model dubbed Mythos, whose powerful cybersecurity capabilities raise stark questions for companies and governments.
Apr 20, 2026
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Machine learning & AI
Artificial intelligence "agents" promise to save users time and energy by automating tasks, but the growing power of systems like OpenClaw is setting cybersecurity experts on edge.
Apr 19, 2026
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