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.
Internet
Millions of students every day turn to AI chatbots for help with schoolwork, emotional support and personal advice—often unaware of where their conversations and other personal information end up.
Sep 15, 2026
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Machine learning & AI
The question of how to ethically decommission an AI system may sound like the least of humanity's current concerns, but a world-renowned AI expert says it's a challenge we need to address now—before synthetic consciousness ...
Sep 14, 2026
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Machine learning & AI
Calls to rein in the development of ever more powerful AI models are fueling fears over the massive capital outlays in the sector—and the prospect that profits from the promised revolution might not be enough to cover them.
Sep 14, 2026
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Computer Sciences
William Overman began his Ph.D. program at Stanford Graduate School of Business at an auspicious moment: just two months before ChatGPT launched publicly in November 2022, exploding the widely held understanding of what machines ...
Sep 14, 2026
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Machine learning & AI
New warnings from within the artificial intelligence industry have revived a long-running debate over whether advanced AI could escape human control and ultimately threaten humanity's survival, and whether the companies developing ...
Sep 14, 2026
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Machine learning & AI
Stark warnings from artificial intelligence researchers that advanced forms of the technology could wipe out humanity have raised questions over whether governments are moving fast enough to regulate it.
Sep 11, 2026
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Machine learning & AI
Earlier this week, researcher Jacob Coxon quit Anthropic, saying the firm and its competitors are "gambling with our lives." "We really do earnestly believe AI could kill all humans," added current Anthropic researcher Evan ...
Sep 11, 2026
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Machine learning & AI
Anthropic said Thursday it has blocked efforts by bad actors to use its artificial intelligence models for malicious activity such as cyberattacks, surveillance, and research that could have led to biological weapons.
Sep 11, 2026
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Machine learning & AI
For Nicolas Papernot, the secret to strengthening cybersecurity in the age of AI is transparency—sharing information about threats and allowing researchers to probe these systems before attackers do.
Sep 10, 2026
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Software
New research suggests that generative artificial intelligence (AI) could weaken not only employment opportunities for junior software developers but also the pathway through which they develop into senior professionals.
Sep 10, 2026
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