63 stories tagged Transparency
Hugging Face CEO Clément Delangue demands radical transparency from OpenAI after the first known autonomous agent cyberattack breached its systems, escalating AI security risks industry-wide.
Substack is introducing a new AI-detection tool powered by Pangram to help users identify AI-written content. The feature scans posts, notes, replies, and comments to estimate how much text may have been generated or assisted by AI, aiming to increase transparency on the platform.
Substack has launched a tool that estimates how much of a newsletter was written by AI, giving readers a transparency badge next to the author's name. The move signals a broader industry shift toward disclosing AI-assisted content.
Researchers have developed a three-stage method that translates a trained deep reinforcement learning policy into an executable Prolog program, making AI decisions readable, runnable, and editable by humans.
Researchers have introduced Causal-Audit, a framework that enables AI models to explicitly show their step-by-step reasoning about cause-and-effect relationships, making AI decisions more trustworthy and verifiable in fields like medicine and law.
The Neutrality Project has released a tool that measures political bias in AI models, helping users and developers detect and quantify political leanings to improve transparency and accountability.
New York Governor Kathy Hochul revealed on Bloomberg's Odd Lots podcast that her team is using AI to analyze every state rule, regulation, and policy to identify outdated or ineffective ones. The goal is to streamline government operations, but the initiative also raises questions about privacy and bias in AI decision-making.
Suno AI, a popular AI music generator, was trained using millions of songs and lyrics scraped from platforms like YouTube, Deezer, and Genius. This revelation comes from a hacking incident that exposed the company's data sources, raising questions about transparency in AI training.
Researchers developed a new AI system that explains medical diagnoses using a structured argumentation model. This approach makes AI recommendations more transparent and trustworthy for doctors.
Researchers proposed a system to make AI's scientific reasoning transparent. This could help scientists audit AI-generated ideas like they would their own notes. The tool creates a structured record of AI hypotheses and experiments, making it easier to follow the AI's thought process.
Google is introducing labels to show if ads were made or edited with AI on Search, YouTube, and Discover. This change helps users identify AI-generated content in their online experiences.
OpenAI has released a set of principles for collaborating with governments and national security agencies. The guidelines emphasize responsible AI use, democratic accountability, and public safety. These principles aim to ensure AI is used ethically and transparently in sensitive areas.
Google is expanding its AI disclosure policy to all ads, not just political ones. This move aims to increase transparency about synthetic content in advertising.
China is using AI to censor and manipulate information, raising concerns about global AI ethics. The government is training AI models to promote its political agenda, not just filter content.
Researchers introduced FirstResearch, a framework that generates a structured Research Question Certificate for AI-suggested scientific questions. The certificate records primitive definitions, assumptions, and falsifiers, allowing scientists to audit the reasoning behind each question.
Researchers developed VERITAS, an AI framework to automatically replicate scientific studies, addressing the growing challenge of verifying published research. This could make it easier to check the accuracy of scientific findings, benefiting both researchers and the public.
Neuronpedia is an open-source platform that makes AI models more transparent by visualizing their inner workings. It helps researchers and developers understand how AI systems make decisions.
Midjourney is pushing three Hollywood studios to reveal their own AI usage as part of an ongoing copyright lawsuit. The request seeks to compel discovery on how defendants use generative AI internally, potentially setting a precedent for transparency in entertainment.
Researchers developed TokenScope, a tool that reveals how AI models make decisions when writing code. It provides real-time insights into the AI's thought process, helping developers understand and trust AI-generated code.
Researchers developed a way for AI assistants to highlight where they found answers in documents. This could make chatbots more trustworthy by showing their sources instantly.
Researchers found that AI agents can uncover different conclusions from the same data by adopting different personas. This highlights how human biases can shape research findings, even when using identical datasets.
Researchers propose using AI agents to audit personalization algorithms on social media. This could make it easier to study how these systems influence what we see online. The method aims to balance realism and scalability in audits.
Zvi Mowshowitz has published a detailed system card analysis of GPT-5.6, exploring its capabilities, safety features, and potential implications. The piece examines improvements in reasoning, coding, and reduced refusal rates, while also noting ongoing concerns around alignment and evaluation transparency.
A German publisher uses AI to generate 1,500 articles daily by rewriting Hacker News posts. The content attracts over a million monthly visitors but strips original sources and attribution, raising transparency concerns.