A new guest column calls on AI researchers to actively apply ethical guidelines amid rapid technological advances.
The column, published by CNET, emphasizes that moral failures in AI often stem from unactivated principles rather than their absence. It outlines six practical steps for researchers to maintain ethical standards, including defining personal red lines and resisting moral disengagement tactics such as euphemistic language and diffusion of responsibility.
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US Defense Secretary Pete Hegseth has threatened Anthropic with severe penalties unless the company grants the military unrestricted access to its Claude AI model. The ultimatum came during a meeting with CEO Dario Amodei in Washington on Tuesday, coinciding with Anthropic's announcement to relax its Responsible Scaling Policy. The changes shift from strict safety tripwires to more flexible risk assessments amid competitive pressures.
At the India AI Impact Summit, Prime Minister Narendra Modi described artificial intelligence as a turning point in human history that could reset the direction of civilisation. He expressed concern over the form of AI to be handed to future generations and emphasised making it human-centric and responsible. Experts have warned about risks including data privacy, deepfakes, and autonomous weapons.
Following IBM's recent findings on AI accelerating vulnerability exploits, a TechRadar report warns that hackers are turning to accessible AI solutions for faster attacks, often trading off quality or cost. Businesses must adapt defenses to these evolving threats.
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Researchers from the University of Pennsylvania have identified 'cognitive surrender,' where people outsource reasoning to AI without verification. In experiments, participants accepted incorrect AI responses 73.2 percent of the time across 1,372 participants. Factors like time pressure increased reliance on flawed outputs.
Indigenous leaders at the United Nations Permanent Forum on Indigenous Issues are grappling with artificial intelligence's potential to both aid and threaten their traditional lands. While AI tools help monitor deforestation and wildfires, the data centers powering the technology consume vast resources often extracted from Indigenous territories. A new study by former forum chair Hindou Oumarou Ibrahim outlines these opportunities and risks.