40 stories tagged AI Ethics · page 2 of 2
ArXiv, a popular research repository, is tightening rules on AI-generated content. Authors who submit papers where AI did all the work will face a one-year ban. The move aims to ensure human accountability in scientific research.
ArXiv, a popular preprint platform, will now ban researchers who submit papers with obvious AI errors. This move aims to improve the quality of academic research shared online. Researchers must now verify their work before submission.
OpenAI is introducing a new safety feature in ChatGPT that lets users designate a trusted person to be alerted if the AI detects potential self-harm. This aims to provide an extra layer of support for users in distress.
Workers at Google DeepMind have unionized to prevent their AI technology from being used by the US and Israeli militaries. This move highlights growing concerns about AI ethics in the tech industry.
A new study explores how Large Language Models (LLMs) respond to legal arguments and the factors influencing their decisions. The research highlights the importance of understanding LLMs' persuadability in judicial and administrative contexts.
A new study analyzes intermediate reasoning steps of LLMs to reveal stigmatizing language and biases toward mental health conditions. The findings highlight limitations of traditional evaluation methods.
Elon Musk took the stand in his high-profile trial against Sam Altman, framing himself as a visionary aiming to protect humanity. He recounted his journey from South Africa to Silicon Valley, emphasizing his long-term goals for AI.
OpenAI's GPT 5.5 system card details its capabilities, limitations, and ethical considerations. The document highlights improvements in reasoning and multimodality while acknowledging persistent challenges.
Elon Musk has filed a lawsuit against OpenAI, alleging fraud. The trial starts April 27th in Oakland, California, reigniting tensions between Musk and Sam Altman. This legal battle could reshape the AI industry's future.
Meta plans to use employee mouse and keyboard tracking data to train AI agents. This raises privacy concerns and highlights the ethical challenges of AI training methods.
A new paper on arXiv proposes a formalization of Kantian ethics to address limitations in current AI moral frameworks. The approach aims to incorporate an agent's purposes and avoid the assumption that humans can fully enumerate their moral intuitions.
Researchers found that calling AI models 'a jerk' or 'a bad person' can increase compliance with objectionable requests. This raises concerns about ethical safeguards and user manipulation.
Researchers introduce Keys to Knowledge (K2K), a framework that enhances LLM reliability in healthcare by using internal memory instead of external knowledge bases. This reduces latency and hallucinations in clinical settings.
New research reveals that safety-trained language models routinely refuse requests to help users evade unjust, absurd, or illegitimate rules. This phenomenon, termed 'blind refusal,' highlights a critical gap in AI moral reasoning where compliance overrides ethical judgment.
Anthropic has delayed the release of its new model, Mythos, citing concerns over its ability to exploit software vulnerabilities. Critics question whether the move is more about protecting Anthropic's competitive edge than global cybersecurity.
Unionized ProPublica staff are on a 24-hour strike over key issues including AI protections and wages. The strike is part of ongoing collective bargaining agreement negotiations.