Securing Elections From AI Deception Act
- Sponsor
- Rep. Brown, Shontel M. [D-OH-11]
- Committees
- Energy and Commerce Committee (primary)
- Last action
- Oct 19, 2026
Bottom line
This bill seeks to safeguard election integrity against potential misuse of artificial intelligence by imposing prohibitions, disclosure requirements, and a duty of care on AI developers and deployers, with enforcement by the FTC and criminal penalties for intentional voter fraud.
What it actually does
This bill prohibits the use of artificial intelligence (defined as 'covered algorithms') to intentionally deprive or defraud individuals of their right to vote in public elections. It mandates disclaimers on AI-generated election-related content, such as altered images or audio of candidates or false voting information. Furthermore, it establishes a 'duty of care' for AI developers and deployers, requiring them to ensure their algorithms are safe and effective, with enforcement largely handled by the Federal Trade Commission (FTC) and criminal penalties for voter fraud.
Proponents argue
Supporters argue that the rapid advancement of AI technology, particularly in generating realistic deceptive content, poses a significant threat to democratic processes and election integrity. They contend that this bill provides necessary legal frameworks to prevent the intentional use of AI for voter suppression or fraud, ensures transparency through disclaimers, and establishes a baseline responsibility for AI developers and deployers to prevent harm, thereby protecting the fundamental right to vote in an increasingly digital landscape.
Opponents contend
Critics might argue that the bill's definitions, particularly 'covered algorithm' and 'safe and effective,' are overly broad or vague, potentially stifling innovation in AI development or creating undue compliance burdens for legitimate uses. Concerns could also be raised about potential First Amendment implications regarding content disclaimers, or that the bill grants excessive regulatory power to the FTC without sufficient guardrails, leading to potential overreach or chilling effects on political speech.
The bill is relatively short and its core provisions are understandable, but the technical definitions and regulatory implications require careful reading.
Section 3(a)
Prohibiting AI Use to Deprive or Defraud Voting Rights
This section makes it illegal for AI developers or deployers to intentionally use a 'covered algorithm' to prevent people from voting or registering to vote, or to defraud them of their right to vote. This includes providing false information about voting times, places, eligibility, or endorsements, and using deception or threats to deter voting or election worker assistance. Violations carry criminal penalties.
Supporters argue
Supporters argue this provision is crucial for protecting the integrity of elections by directly criminalizing the malicious use of AI to undermine democratic processes, ensuring that advanced technology cannot be weaponized against voters.
Critics contend
Some might argue that existing laws already cover voter fraud and deception, and adding AI-specific prohibitions could create redundant or overly complex legal frameworks, potentially leading to unintended consequences or chilling legitimate speech.
Tradeoffs
This provision balances the need to protect election integrity from new technological threats against concerns about potential overreach or redundancy with existing election laws.
Section 4(a) and 4(b)
Mandating Disclaimers on AI-Generated Election Content
This section requires deployers who use AI to create and publish election-related images, text, video, or audio (especially if it simulates candidates or provides voting information) to include a clear 'AI Disclaimer' statement or symbol. Developers must provide mechanisms for deployers to comply and, to the extent technically feasible, make these disclaimers permanent or difficult to remove. The FTC is tasked with issuing regulations for these disclaimers.
Section 5
Establishing a Duty of Care for AI Algorithms
This section mandates that AI developers and deployers must ensure their 'covered algorithms' are 'safe and effective.' 'Safe' implies taking reasonable measures to prevent harm, avoiding violations of the Act, and concluding that benefits outweigh costs, individuals can reasonably avoid being affected, and deceptive practices are unlikely. 'Effective' means functioning at a reasonable performance level, consistent with advertised performance and purpose, and using relevant and appropriate data. The FTC enforces this duty.
Defines 'covered algorithm' broadly to include computational processes using machine learning, natural language processing, AI techniques, or similar complexity, as well as deterministic processes derived from them, that create products/information, affect material information display, make decisions, or facilitate human decision-making.
Section 2(2)
Why it matters:It is standard legislative practice to define key terms early in the bill. However, its broad scope has significant implications for the entire AI industry, making it a critical detail.
Case for: Proponents argue a broad definition is necessary to future-proof the legislation against rapidly evolving AI technologies and ensure comprehensive coverage of potential misuse.
Case against: Critics might argue that the definition is overly broad and vague, potentially capturing technologies not intended to be regulated or creating uncertainty for developers about what falls under the scope of the Act.
Estimated impact: This definition determines the entire scope of the bill's applicability, affecting virtually all entities involved in developing or deploying advanced computational systems.
Grants the Federal Trade Commission (FTC) authority to enforce the disclaimer requirements (Sec. 4) and the duty of care (Sec. 5). Violations are treated as unfair or deceptive acts or practices under the Federal Trade Commission Act, giving the FTC broad investigative and enforcement powers, including the ability to impose penalties.
Section 4(c) and 5(d)
Why it matters:It is standard legislative practice to leverage existing agency enforcement frameworks rather than creating new ones from scratch. However, the implications of this broad grant of power are significant.
Case for: Proponents argue that leveraging the FTC's existing expertise in consumer protection and unfair practices makes it the appropriate agency to regulate AI's impact on elections, ensuring robust enforcement.
Case against: Critics might express concern that the FTC, primarily a consumer protection agency, may lack the specific technical expertise or resources to effectively regulate complex AI systems and election-related content, potentially leading to inconsistent or ineffective enforcement.
Estimated impact: Establishes the primary regulatory body and enforcement framework for significant portions of the bill, impacting compliance strategies for AI companies and potentially expanding the FTC's mandate.