Enhancing Accountability and Trust: Meet the ‘AI Foundation Model Transparency Act’

AI’s extensive integration across various fields has prompted concerns about the necessity for more transparency in how these AI systems are trained and the data they rely on. This lack of clarity has resulted in AI models producing inaccurate, biased, or unreliable outcomes, particularly in critical areas such as healthcare, cybersecurity, elections, and financial decisions. […]

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