LIVE · cybersecurity feed
Live wire
ai

The FTC wants to regulate AI for ideological bias

The Federal Trade Commission (FTC) is considering a policy that would classify ideological bias in artificial intelligence (AI) systems as an unfair and deceptive practice under Section 5 of the FTC Act. This move could enable the commission to regulate the training data and inputs used by AI algorithms. The FTC's proposed policy statement, released last month, suggests that consumers expect…

ZeroDay News ·

Source: CyberScoop

The Federal Trade Commission (FTC) is considering a policy that would classify ideological bias in artificial intelligence (AI) systems as an unfair and deceptive practice under Section 5 of the FTC Act. This move could enable the commission to regulate the training data and inputs used by AI algorithms. The FTC's proposed policy statement, released last month, suggests that consumers expect AI systems to provide information free from bias or ideological manipulation.

The proposal has drawn significant criticism from across the political spectrum, with many questioning the FTC's legal authority and the potential for political censorship. Critics argue that the FTC is overstepping its traditional role of consumer protection and stretching Section 5 beyond its intended scope to address a lack of congressional AI regulation.

One major concern is the lack of clarity on how the FTC would define and identify ideological bias in AI systems. While the commission suggests this regulatory authority would supersede state AI laws, specifically mentioning the Colorado AI Act, state lawmakers are already seeking to delay or eliminate bias audits mandated by that law before it takes effect in 2027.

Public comments on the FTC's proposal highlight two primary issues: that it distracts from legitimate questions about the federal government's role in regulating AI deception, and that it could open the door to political censorship of AI model outputs. Some experts argue that while there's a valid debate about bias and accuracy in models and countering disinformation, the FTC's current approach doesn't adequately address these concerns. Instead, it appears to focus on a power struggle with states over AI regulation and disputes over the perceived political leanings of different AI models.

The policy statement's language and references have also raised eyebrows, particularly its repeated mentions of Anthropic, an AI company that has previously clashed with the Trump administration over AI guardrails and military applications. These references are often framed as examples of ideological bias the FTC aims to eliminate. Conversely, the document omits any mention of Elon Musk or xAI's Grok model, despite Musk's public admissions of intervening to shape Grok's outputs on specific topics, such as South African race relations and the term "MechaHitler," to reflect his personal views. Grok is only cited in a footnote referencing an advertisement for it as a "truth-seeking AI companion for unfiltered answers."

Over 300 comments were submitted to the FTC from various organizations, experts, and members of Congress. Most found the proposal ill-defined and susceptible to politically motivated censorship. However, some groups, like the America First Legal Foundation, a conservative non-profit, urged the FTC to adopt the policy fully. They claim that "frontier models" from companies like OpenAI and Anthropic are programmed to prioritize "ideologically liberal and progressive values" as objective truths, and that regulating this falls under the FTC's authority because a "reasonable consumer" would expect an AI advertised for its usefulness and reliability not to skew results with liberal ideological views.

Other conservative groups, such as the R Street Foundation, questioned this "consumer expectations" rationale. They argue that this rationale is typically applied when information is omitted, and since most large language models already include disclosure statements, it would be difficult for the FTC to prove consumers were explicitly deceived about a product's ideological leanings.

Bipartisan concerns were also raised by Representatives Josh Gottheimer (D-N.J.) and Michael Lawler (R-N.Y.), who urged the FTC to exempt civil rights-related work from scrutiny, specifically efforts to prevent models from discriminating based on federally protected characteristics like race, religion, gender, and age. They emphasized that while AI companies should not falsify facts in the name of fairness, they must also prevent discrimination and stereotypes.

The most widespread concern across the political spectrum is that the FTC's proposal could set a precedent, allowing future administrations, including a potential Trump White House, to reshape AI systems to align with their political views.

ai
ShareXLinkedInWhatsAppFacebook

More News

view all →
breach

Criminal IP Introduces AITEM as the Next Evolution of Attack Surface Management

AI SPERA, the company behind the cyber threat intelligence platform Criminal IP, has announced AITEM (AI-Powered Threat Exposure Management), an expansion of its Attack Surface Management (ASM) offerings. AITEM aims to move beyond traditional asset discovery to provide a more comprehensive approach to understanding, prioritizing, and responding to security exposures. The platform is scheduled…

ai

AI Is Getting Really Good at Messing With Cybercriminals

Anti-cybercrime initiatives are increasingly deploying artificial intelligence to disrupt scammers by engaging them with lifelike bots, which the criminals mistake for genuine victims. This strategy aims to waste scammers' time and resources while gathering intelligence on their operations.

ai

The Third-Party Agent Problem: Why Security Built for AI You Chose Misses the Agents You Didn't

A new report highlights a significant blind spot in enterprise security architectures concerning the proliferation of third-party AI agents. The forthcoming 2026 State of Agent Security Report indicates that current security models, often designed to protect AI systems directly chosen and deployed by an organization, frequently fail to account for AI capabilities embedded within third-party…

security

Canadian cybersecurity executive arrested in federal extortion case

A Canadian cybersecurity executive was arrested in Pennsylvania on Thursday, facing federal charges of conspiracy to commit extortion. Edward Dubrovsky, 54, a co-founder and former Chief Operating Officer of CYPFER, a firm specializing in ransomware negotiation, is charged with conspiring to threaten the confidentiality of information for extortion and conspiring to commit Hobbs Act extortion,…

ransomware

FBI Arrests Ransomware Negotiation Firm Co-Founder in ShinyHunters Probe

The Federal Bureau of Investigation (FBI) has reportedly arrested Edward Dubrovsky, a co-founder of the ransomware negotiation firm Cypfer and currently associated with CyberSteward. The arrest is said to be part of the ongoing ShinyHunters investigation, specifically in connection with an incident involving FBI job applicant data.

security

Insider Cyber Extortion Plot Against Industrial Firm Lands Engineer in Prison

A former core infrastructure engineer has been sentenced to prison for an attempted cyber extortion plot against an industrial firm. The engineer reportedly deleted administrative accounts and reset hundreds of user passwords, subsequently demanding a ransom of 20 Bitcoin to prevent further disruption to the company's servers.