EFF to NSF: AI Action Plan Must Put People First

This past January the new administration issued an executive order on Artificial Intelligence (AI), taking the place of the now rescinded Biden-era order, calling for a new AI Action Plan tasked with “unburdening” the current AI industry to stoke innovation and remove “engineered social agendas” from the industry. This new action plan for the president is currently being developed and open to public comments to the National Science Foundation (NSF).

EFF answered with a few clear points: First, government procurement of decision-making (ADM) technologies must be done with transparency and public accountability—no secret and untested algorithms should decide who keeps their job or who is denied safe haven in the United States. Second, Generative AI policy rules must be narrowly focused and proportionate to actual harms, with an eye on protecting other public interests. And finally, we shouldn’t entrench the biggest companies and gatekeepers with AI licensing schemes.

Government Automated Decision Making

US procurement of AI has moved with remarkable speed and an alarming lack of transparency. By wasting money on systems with no proven track record, this procurement not only entrenches the largest AI companies, but risks infringing the civil liberties of all people subject to these automated decisions.

These harms aren’t theoretical, we have already seen a move to adopt experimental AI tools in policing and national security, including immigration enforcement. Recent reports also indicate the Department of Government Efficiency (DOGE) intends to apply AI to evaluate federal workers, and use the results to make decisions about their continued employment.

Automating important decisions about people is reckless and dangerous. At best these new AI tools are ineffective nonsense machines which require more labor to correct inaccuracies, but at worst result in irrational and discriminatory outcomes obscured by the blackbox nature of the technology.

Instead, the adoption of such tools must be done with a robust public notice-and-comment practice as required by the Administrative Procedure Act. This process helps weed out wasteful spending on AI snake oil, and identifies when the use of such AI tools are inappropriate or harmful.

Additionally, the AI action plan should favor tools developed under the principles of free and open-source software. These principles are essential for evaluating the efficacy of these models, and ensure they uphold a more fair and scientific development process. Furthermore, more open development stokes innovation and ensures public spending ultimately benefits the public—not just the most established companies.

Don’t Enable Powerful Gatekeepers

Spurred by the general anxiety about Generative AI, lawmakers have drafted sweeping regulations based on speculation, and with little regard for the multiple public interests at stake. Though there are legitimate concerns, this reactionary approach to policy is exactly what we warned against back in 2023.

For example, bills like NO FAKES and NO AI Fraud expand copyright laws to favor corporate giants over everyone else’s expression. NO FAKES even includes a scheme for a DMCA-like notice takedown process, long bemoaned by creatives online for encouraging broader and automated online censorship. Other policymakers propose technical requirements like watermarking that are riddled with practical points of failure.

Among these dubious solutions is the growing prominence of AI licensing schemes which limit the potential of AI development to the highest bidders. This intrusion on fair use creates a paywall protecting only the biggest tech and media publishing companies—cutting out the actual creators these licenses nominally protect. It’s like helping a bullied kid by giving them more lunch money to give their bully.

This is the wrong approach. Looking for easy solutions like expanding copyright, hurts everyone. Particularly smaller artists, researchers, and businesses who cannot compete with the big gatekeepers of industry. AI has threatened the fair pay and treatment of creative labor, but sacrificing secondary use doesn’t remedy the underlying imbalance of power between labor and oligopolies.

People have a right to engage with culture and express themselves unburdened by private cartels. Policymakers should focus on narrowly crafted policies to preserve these rights, and keep rulemaking constrained to tested solutions addressing actual harms.

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