#Artificial Intelligence Ethics
Latest news articles tagged with "Artificial Intelligence Ethics". Follow the timeline of events, related topics, and entities.
Articles (5)
-
🇬🇧 Tumbler Ridge suspect's ChatGPT account banned before shooting
[United Kingdom]
OpenAI said the account's activity did not meet the threshold to flag it to authorities when it was identified.
Related: #Public Safety, #Corporate Responsibility -
🇺🇸 A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
[USA]
arXiv:2411.06624v4 Announce Type: replace Abstract: Recent regulatory proposals for artificial intelligence emphasize fairness requirements for machine learning models. However, precisely defining th...
Related: #Fairness Metrics in Machine Learning, #Regulatory Compliance, #Context-sensitive Model Evaluation, #Bias Mitigation Strategies -
🇺🇸 Visual Persuasion: What Influences Decisions of Vision-Language Models?
[USA]
arXiv:2602.15278v1 Announce Type: cross Abstract: The web is littered with images, once created for human consumption and now increasingly interpreted by agents using vision-language models (VLMs). T...
Related: #Vision‑Language Models, #Algorithmic Decision‑Making, #Explainability in AI, #Visual Bias and Preference -
🇺🇸 Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
[USA]
arXiv:2411.12174v3 Announce Type: replace-cross Abstract: Toxicity identification in online multimodal environments remains a challenging task due to the complexity of contextual connections across m...
Related: #Multimodal Machine Learning, #Toxic Content Detection, #Knowledge Graphs, #Model Compression and Distillation -
🇺🇸 ProMoral-Bench: Evaluating Prompting Strategies for Moral Reasoning and Safety in LLMs
[USA]
arXiv:2602.13274v1 Announce Type: new Abstract: Prompt design significantly impacts the moral competence and safety alignment of large language models (LLMs), yet empirical comparisons remain fragmen...
Related: #Natural Language Processing Evaluation, #Robustness Testing in LLMs, #Prompt Engineering, #Model Safety & Alignment