Search results
Results from the WOW.Com Content Network
Executive Order 14110 is the third executive order dealing explicitly with AI, with two AI-related executive orders being signed by then-President Donald Trump. [9] [10] The development of AI models without policy safeguards has raised a variety of concerns among experts and commentators.
Meta and Mistral AI were also labeled as having “very weak” risk management. OpenAI and Google Deepmind received “weak” ratings, while Anthropic led the pack with a “moderate” score of ...
She was listed on the inaugural TIME100 Most Influential People in AI. Tabassi led the creation of the United States Artificial Intelligence Risk Management Framework, [2] adopted by both industry and government. [3] Tabassi was selected to serve on the National Artificial Intelligence (AI) Research Resource Task Force. [4]
The Center for AI Safety (CAIS) is a nonprofit organization based in San Francisco, that promotes the safe development and deployment of artificial intelligence (AI). CAIS's work encompasses research in technical AI safety and AI ethics , advocacy, and support to grow the AI safety research field.
The companies committed to ensure AI products undergo both internal and external security testing before public release; to share information on the management of AI risks with the industry, governments, civil society, and academia; to prioritize cybersecurity and protect proprietary AI system components; to develop mechanisms to inform users ...
The Risk Management Framework (RMF) is a United States federal government guideline, standard, and process for managing risk to help secure information systems (computers and networks). The RMF was developed by the National Institute of Standards and Technology (NIST), and provides a structured process that integrates information security ...
In November 2020 the Partnership on AI announced the AI Incident Database (AIID), [10] which is a tool to identify, assess, manage, and communicate AI risk and harm. In August 2021, the Partnership on AI submitted a response to the National Institute of Standards and Technology (NIST).
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.