Trump Admin's AI Action Plan Shifts Focus to Technical Fixes, Eliminates Certain References
The Trump administration's AI Action Plan, along with an Executive Order, has outlined a new approach to AI development in the federal government. The plan shifts focus towards technical fixes for identifying synthetic media and encourages objective, bias-free systems. It also seeks to eliminate certain references from AI risk management frameworks and promotes investment in interpretability for neural networks in defense and national security applications.
The Action Plan encourages the National Institute of Standards and Technology (NIST) to develop a 'deepfake evaluation program'. This involves creating security control overlays and foundational guidance for AI and cybersecurity, including measures to detect and evaluate deepfakes. Notably, the plan shifts focus from social aspects to technical fixes for identifying synthetic media.
The Action Plan aims to ensure that the government only contracts with LLM developers who guarantee their systems are 'objective' and 'free from top-down ideological bias'. It seeks to eliminate references to 'misinformation', 'Diversity, Equity, and Inclusion', and 'climate change' from the AI Risk Management Framework developed by NIST. The plan favors investment in 'interpretability' to control neural networks in defense and national security applications.
The Trump administration's Executive Order 'Preventing Woke AI in the Federal Government' demands that Large Language Models (LLMs) be 'truth-seeking' and 'prioritize objectivity'. It prohibits encoding partisanship or ideology into outputs and argues that AI systems should not be used to 'socially engineer' outcomes or 'change the race or sex of historical figures' based on DEI requirements. The Executive Order targets terms like 'critical race theory', 'transgenderism', 'unconscious bias', 'intersectionality', and 'systemic racism' in AI development.
The Trump administration's AI Action Plan views AI as a transformative force and aims to strip away 'radical climate dogma' and 'bureaucratic red tape' to ensure its potential. While promoting a 'try-first' culture for AI in industries like healthcare, energy, and agriculture, the plan acknowledges risks in defense applications. Eryk Salvaggio, a fellow at Tech Policy Press, has been following these developments.
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