Christhy Le, MJLST Staffer
Biden’s Executive Order on “Safe, Secure, and Trustworthy” AI
On October 30, 2023, President Biden issued a landmark Executive Order to address concerns about the burgeoning and rapidly evolving technology of AI. The Biden administration states that the order’s goal is to ensure that America leads the way in seizing the promising potential of AI while managing the risks of AI’s potential misuse.[1] The Executive Order establishes (1) new standards for AI development, and security; (2) increased protections for Americans’ data and privacy; and (3) a plan to develop authentication methods to detect AI-generated content.[2] Notably, Biden’s Executive Order also highlights the need to develop AI in a way that ensures it advances equity and civil rights, fights against algorithmic discrimination, and creates efficiencies and equity in the distribution of governmental resources.[3]
While the Biden administration’s Executive Order has been lauded as the most comprehensive step taken by a President to safeguard against threats posed by AI, its true impact is yet to be seen. The impact of the Executive Order will depend on its implementation by the agencies that have been tasked with taking action. The regulatory heads tasked with implementing Biden’s Executive Order are the Secretary of Commerce, Secretary of Energy, Secretary of Homeland Security, and the National Institute of Standards and Technology.[4] Below is a summary of the key calls-to-action from Biden’s Executive Order:
- Industry Standards for AI Development: The National Institute of Science and Tech (NIST), Secretary of Commerce, Secretary of Energy, Secretary of Homeland Secretary, and other heads of agencies selected by the Secretary of Commerce will define industry standards and best practices for the development and deployment of safe and secure AI systems.
- Red-Team Testing and Reporting Requirements: Companies developing or demonstrating an intent to develop potential dual-use foundational models will be required to provide the Federal Government, on an ongoing basis, with information, reports, and records on the training and development of such models. Companies will also be responsible for sharing the results of any AI red-team testing conducted by the NIST.
- Cybersecurity and Data Privacy: The Department of Homeland Security shall provide an assessment of potential risks related to the use of AI in critical infrastructure sectors and issue a public report on best practices to manage AI-specific cybersecurity risks. The Director of the National Science Foundation shall fund the creation of a research network to advance privacy research and the development of Privacy Enhancing Technologies (PETs).
- Synthetic Content Detection and Authentication: The Secretary of Commerce and heads of other relevant agencies will provide a report outlining existing methods and the potential development of further standards/techniques to authenticate content, track its provenance, detect synthetic content, and label synthetic content.
- Maintaining Competition and Innovation: The government will invest in AI research by creating at least four new National AI Research Institutes and launch a pilot distributing computational, data, model, and training resources to support AI-related research and development. The Secretary of Veterans Affairs will also be tasked with hosting nationwide AI Tech Sprint competitions. Additionally, the FTC will be charged with using its authorities to ensure fair competition in the AI and semiconductor industry.
- Protecting Civil Rights and Equity with AI: The Secretary of Labor will publish a report on effects of AI on the labor market and employees’ well-being. The Attorney General shall implement and enforce existing federal laws to address civil rights and civil liberties violations and discrimination related to AI. The Secretary of Health and Human Services shall publish a plan to utilize automated or algorithmic systems in administering public benefits and services and ensure equitable distribution of government resources.[5]
Potential for Big Tech’s Outsized Influence on Government Action Against AI
Leading up to the issuance of this Executive Order, the Biden administration met repeatedly and exclusively with leaders of big tech companies. In May 2023, President Biden and Vice President Kamala Harris met with the CEOs of leading AI companies–Google, Anthropic, Microsoft, and OpenAI.[6] In July 2023, the Biden administration celebrated their achievement of getting seven AI companies (Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and Open AI) to make voluntary commitments to work towards developing AI technology in a safe, secure, and transparent manner.[7] Voluntary commitments generally require tech companies to publish public reports on their developed models, submit to third-party testing of their systems, prioritize research on societal risks posed by AI systems, and invest in cybersecurity.[8] Many industry leaders criticized these voluntary commitments for being vague and “more symbolic than substantive.”[9] Industry leaders also noted the lack of enforcement mechanisms to ensure companies follow through on these commitments.[10] Notably, the White House has only allowed leaders of large tech companies to weigh in on requirements for Biden’s Executive Order.
While a bipartisan group of senators[11] hosted a more diverse audience of tech leaders in their AI Insights Forum, the attendees for the first and second forum were still largely limited to CEOs or Cofounders of prominent tech companies, VC executives, or professors at leading universities.[12] Marc Andreessen, a co-founder of Andreessen Horowitz, a prominent VC fund, noted that in order to protect competition, the “future of AI shouldn’t be dictated by a few large corporations. It should be a group of global voices, pooling together diverse insights and ethical frameworks.”[13] On November 3rd, 2023 a group of prominent academics, VC executives, and heads of AI startups published an open letter to the Biden administration where they voiced their concern about the Executive Order’s potentially stifling effects.[14] The group also welcomed a discussion with the Biden administration on the importance of developing regulations that allowed for robust development of open source AI.[15]
Potential to Stifle Innovation and Stunt Tech Startups
While the language of Biden’s Executive Order is fairly broad and general, it still has the potential to stunt early innovation by smaller AI startups. Industry leaders and AI startup founders have voiced concern over the Executive Order’s reporting requirements and restrictions on models over a certain size.[16] Ironically, Biden’s Order includes a claim that the Federal Trade Commission will “work to promote a fair, open, and competitive ecosystem” by helping developers and small businesses access technical resources and commercialization opportunities.
Despite this promise of providing resources to startups and small businesses, the Executive Order’s stringent reporting and information-sharing requirements will likely have a disproportionately detrimental impact on startups. Andrew Ng, a longtime AI leader and cofounder of Google Brain and Coursera, stated that he is “quite concerned about the reporting requirements for models over a certain size” and is worried about the “overhyped dangers of AI leading to reporting and licensing requirements that crush open source and stifle innovation.”[17] Ng believes that regulating AI model size will likely hurt the open-source community and unintentionally benefit tech giants as smaller companies will struggle to comply with the Order’s reporting requirements.[18]
Open source software (OSS) has been around since the 1980s.[19] OSS is code that is free to access, use, and change without restriction.[20] The open source community has played a central part in developing the use and application of AI, as leading AI generative models like ChatGPT and Llama have open-source origins.[21] While both Llama and ChatGPT are no longer open source, their development and advancement heavily relied on using open source models like Transformer, TensorFlow, and Pytorch.[22] Industry leaders have voiced concern that the Executive Order’s broad and vague use of the term “dual-use foundation model” will impose unduly burdensome reporting requirements on small companies.[23] Startups typically have leaner teams, and there is rarely a team solely dedicated to compliance. These reporting requirements will likely create barriers to entry for tech challengers who are pioneering open source AI, as only incumbents with greater financial resources will be able to comply with the Executive Order’s requirements.
While Biden’s Executive Order is unlikely to bring any immediate change, the broad reporting requirements outlined in the Order are likely to stifle emerging startups and pioneers of open source AI.
Notes
[2] Id.
[3] Id.
[8] https://www.whitehouse.gov/wp-content/uploads/2023/07/Ensuring-Safe-Secure-and-Trustworthy-AI.pdf.
[9] https://www.nytimes.com/2023/07/22/technology/ai-regulation-white-house.html.
[10] Id.
[12] https://techpolicy.press/us-senate-ai-insight-forum-tracker/.
[13] https://www.schumer.senate.gov/imo/media/doc/Marc%20Andreessen.pdf.
[15] Id.
[19] https://www.brookings.edu/articles/how-open-source-software-shapes-ai-policy/.
[20] Id.
[21] https://www.zdnet.com/article/why-open-source-is-the-cradle-of-artificial-intelligence/.
[22] Id.
[23] Casado, supra note 14.
