Microsoft has published a detailed code of conduct setting out what its chatbots and AI agents are permitted to do and which actions are strictly prohibited. The document is described as extensive but not yet finalized, so its rules could still change.
A new arXiv preprint argues that social networks both reflect and amplify existing inequalities, which then propagate into technologies that rely on network-derived signals. The authors propose treating network fairness as a core concern for responsible decision-making rather than an afterthought. The work is a perspective piece outlining how these structural biases arise and why they matter for downstream systems.
Microsoft published a code of conduct governing how its AI models should behave, stating they should assist people rather than take their place. The document combines broad principles about benefiting humanity with concrete safety limits, including prohibitions on attacking computer systems and on deceiving users.
A doctoral thesis posted to arXiv surveys how machine learning systems shape consequential decisions and everyday life. It argues that because these data-driven tools are often built without adequate attention to their broader effects, their social consequences warrant closer study. The work falls under the computer science machine learning category as a revised preprint.
A researcher who previously worked at OpenAI has resigned from Anthropic, saying neither company is handling the technology responsibly. He also noted that many of the people developing advanced AI genuinely believe it poses an existential risk to humanity. The departure adds to ongoing internal dissent over safety practices at leading AI labs.