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A group of current and former employees at leading AI companies OpenAI and Google DeepMind published a letter on Tuesday warning against the dangers of advanced AI as they allege companies are ...
An open letter by a group of 11 current and former employees of OpenAI and one current and another former employee with Google DeepMind said the financial motives of AI companies hinder effective ...
DeepMind Technologies Limited, [1] trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Alphabet Inc. Founded in the UK in 2010, it was acquired by Google in 2014 [8] and merged with Google AI's Google Brain division to become Google DeepMind in April 2023.
The Government Operations Agency would review the results of safety tests and incidents, and issue guidance, standards, and best practices. [35] The bill creates a Board of Frontier Models to supervise the application of the bill by the Government Operations Agency. It is composed of 9 members. [42] [needs update]
[17] [5] These include "AI Godfathers" Geoffrey Hinton and Yoshua Bengio and the CEOs of OpenAI, Anthropic, and Google DeepMind. [18] [19] [20] These risks remain debated. [21] AI alignment is a subfield of AI safety, the study of how to build safe AI systems. [22] Other subfields of AI safety include robustness, monitoring, and capability ...
The agreement, backed by a number of governments from around the world as well as major AI firms including OpenAI and Google DeepMind, will see external safety testing of new AI models against a ...
These are the first findings from a new survey* “The Deepfake Trends 2024” commissioned by Regula, a global developer of forensic devices and identity verification solutions. Regula’s survey data shows a significant rise in the prevalence of video deepfakes, with a 20% increase in companies reporting incidents compared to 2022**.
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.