Lina Khan urges handcuffs for AI company chiefs, citing a 1934 precedent

Lina Khan, the former chair of the U.S. Federal Trade Commission (FTC), has put forward a hard-line proposal aimed at the artificial intelligence industry: in her view, the leaders of AI companies should face not only fines and regulatory measures, but criminal ones as well — up to and including handcuffs.

Khan grounds her position in a historical precedent from 1934. The reference to that period — the era when, in the wake of the Great Depression, the United States was building the modern system for regulating markets and corporate accountability — serves as an argument that holding top executives personally accountable is nothing new to American law.

Lina Khan is known as one of the most vocal critics of the concentration of power in the hands of large technology corporations. During her time at the FTC, she consistently championed a tougher approach to antitrust enforcement and consumer protection. Her latest statement continues along that line, shifting the emphasis from the companies themselves to the specific people who make the decisions.

The point of the proposal is to shift where accountability lies: when only corporate fines are at stake, the costs get built into the business model and do nothing to keep companies from risky or unscrupulous behavior. Personal liability for an executive, by Khan's logic, can change how incentives are weighed at the very top.

The statement comes amid an ongoing debate over how the state should regulate the rapidly developing AI sector. Khan's position reflects a broader argument between the proponents of strict oversight and those who fear that excessive pressure will slow technological progress.

Source: Hacker News