A University of Amsterdam study in PNAS Nexus asked 21 large language models to judge people who helped, or refused to help, others with good or bad reputations. The models agreed on good people and split on bad ones. We explain the four social norms, the model-by-model figures, what the norms would do to cooperation, and what organisations should test.
A world-first study from JAIST and Waseda University tested ChatGPT’s urban design advice for health against four ethical criteria. It avoided harm in all 180 answers and treated poorer areas fairly, but community participation and human oversight dropped sharply under a budget constraint. We explain the findings and how planners should use AI advice.
Johns Hopkins researchers took 427 real workplace writing prompts, rewrote each into a women-associated and a men-associated version, and ran both through GPT-4, Llama, Mistral and Gemma. Every model returned shorter, plainer, less formal documents for the women-coded phrasing. Adding a male or female sign-off name changed nothing. Linear probes decode the linguistic register at 0.988 accuracy by layer 5 while name gender reaches only 0.717, and activation patching puts the causal weight in layers 0 to 7. This article covers the method, the per-model results, the two controls that rule out mirroring, and why the authors say users cannot fix it themselves.
A Cambridge researcher, Lucius Caviola, argues that AI consciousness could become as divisive as abortion or climate change. His survey of 1,202 US adults found 45% think future AI consciousness impossible and 23% possible, and a 3,455-person preprint shows views polarise as AI grows more human-like. We set out the evidence, the expert disagreement between Anil Seth and David Chalmers, the four forces pulling opinion apart, and what organisations deploying chatbots should do now.
Timnit Gebru told WIRED that AI doom talk is “meant to distract us” from real harms. We counted: 708 words of answers, nine harms named, 22 Bluesky posts, and an Anthropic threat report that gives 3,707 words to conventional weapons and none to extinction.
Responsible AI by design is the message a group of academic editors put into print this week, and it is aimed squarely at how data science teams currently work. The latest issue of the INFORMS Journal on Computing carries a special issue titled “Responsible AI and Data Science for Social Good”, and its co-editors argue […]
Table of Contents Artificial intelligence has evolved from a niche technological field into a transformative force that touches nearly every aspect of human civilization. From the way we communicate and access information to how healthcare is delivered, how businesses operate, and how governments function, AI is fundamentally reshaping the fabric of society. Introduction The societal […]
AI Nudging can improve workplace productivity, but UK employers must govern data, transparency, fairness, monitoring, equality, rest, and employee challenge rights.
A Responsible AI ethical framework helps businesses turn AI ethics into practical controls for risk, compliance, trust, security, oversight, and measurable outcomes.
AGI now sits between research ambition and real governance pressure. This guide explains its past, present trajectory, future outlook, and the moral split between OpenAI, Anthropic, and Grok.
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