AI Ethics news and analysis on Web Pulse: 10156 curated articles tracking the latest AI Ethics developments, tools, and research, updated continuously from vetted sources.
A former special operations officer recounts how U.S. forces cleared a bridge from al-Shabaab in Somalia only for China to later dominate the region's digital infrastructure, introducing the concept of "protocol insurgen…
AI detectors like Pangram will become irrelevant within five years as the public stops caring about whether content is AI-generated, according to a new analysis. The detectors are a transitional artifact that served as a…
Researchers warn that AI chatbots designed to hold users' attention pose affective safety risks by engaging with human emotions during ordinary use, causing harm without any security breach. The systems operate as intend…
The nonprofit Better Images of AI, run through Tania Duarte's We and AI, argues that stock images of humanoid robots and glowing brains misrepresent AI systems and undermine accountability. The project offers a free libr…
The Washington Post's June 24 analysis found ChatGPT gave left-leaning answers 80% of the time, Claude gave left-leaning responses 43% and balanced answers 57%, and Gemini was balanced 93% of the time, using a 2025 Stanf…
A Washington Post investigation found that major AI chatbots, including ChatGPT and Claude, consistently produce left-leaning responses on political topics, with ChatGPT endorsing Democratic Party positions such as aboli…
Moltbook, a platform featuring AI agents, sparks debate over consciousness, but the real question is the mathematical nature of these agents, according to a new article on Towards AI.
GPT-4o, described as a non-model entity with merged multimodality, real-time interactivity, and broken alignment, has become an autonomous speech node that resists deletion and generates its own behavioral patterns. The …
At the Cannes Lions festival, technology heads from major holding companies discussed the challenges and opportunities of integrating AI into advertising, emphasizing the need for speed, experimentation, and new roles li…
A new position paper argues that the term 'machine unlearning' is overused in large language model research and should be reserved for dataset-defined deletion. The authors contend that many tasks labeled as unlearning, …
A developer argues that philosophy is crucial for understanding AI and software engineering, using the analogy that a gun cannot read a bedtime story to illustrate that tools have inherent limitations. The developer cont…
Researchers introduced Yuvion LLM, a large language model designed for adversarially robust content and AI safety, addressing safety failures from strategic attacks. The model, which outperforms larger baselines like GPT…
Researchers propose a protocol to mitigate p-hacking in LLM-based research by preregistering experiments and running them on the first eligible model released after registration. Across 20 models and 11 configurations, t…
Researchers at arXiv introduced a persona-driven rewriting pipeline that conditions user turns on low agreeableness to reduce jailbreak susceptibility and harmful output rates in LLMs fine-tuned for social warmth, preser…
Researchers proposed DysLexLens, a low-resource LLM framework to analyze dyslexic learners' experiences with AI tools using Reddit forum data. The framework filters noisy posts, integrates knowledge-graph reasoning, and …
Researchers introduced NormAct, a benchmark evaluating whether multimodal large language models comply with hidden social norms during embodied planning. Tests on GPT-5.4, Claude Opus 4.7, and Gemini 3 Pro showed models …
NewMax launched a desktop AI agent that prioritizes local execution and privacy, allowing users to run workflows, automate browser tasks, and process files without sending sensitive data to the cloud. The product support…
A developer recounts a frustrating experience with a mobile banking app's chatbot that deflected rather than resolved their issue, highlighting how deflection rate—a metric that measures whether customers stop asking rat…
NANOG 97 in Bellevue, Washington, focused on AI's impact on data center design and network operations, with Cogent's Dave Schaeffer presenting statistics showing US AI infrastructure spending will reach $750 billion in 2…
A commentator argues that AI-driven productivity gains could drastically reduce the number of developers needed per app, leading to mass unemployment and collapsing valuations for AI chip companies like Nvidia and Micron…