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The National Institute of Standards and Technology (NIST) has issued new guidelines for scientists collaborating with the US Artificial Intelligence Safety Institute (AISI). These guidelines remove references to AI safety, responsible AI, and AI fairness, instead emphasizing the need to reduce ideological bias. This shift aims to enhance human flourishing and bolster economic competitiveness in the AI sector.
The directive reflects a significant change in the priorities of AI research, steering away from ethical considerations towards a more competitive stance. By prioritizing ideological neutrality, the NIST seeks to align AI development with broader economic goals. This move raises questions about the implications for responsible AI practices and the potential impact on public trust in AI technologies.
• NIST's new guidelines prioritize reducing ideological bias in AI research.
• The focus shifts away from AI safety and fairness towards economic competitiveness.
AI safety refers to the measures taken to ensure that AI systems operate without causing harm, which has been deprioritized in recent guidelines.
Ideological bias in AI refers to the influence of specific beliefs or ideologies on AI models, which the new guidelines aim to minimize.
Responsible AI encompasses ethical practices in AI development, which are now less emphasized according to the new NIST guidelines.
NIST is a federal agency that develops standards and guidelines for various technologies, including AI, now focusing on reducing bias.
AISI collaborates with NIST to promote safe AI practices, but is now directed to prioritize economic competitiveness over fairness.
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