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AI Czar: Jay Clayton Reportedly Heads Trump's Super Intelligence Task Force

Clayton to lead 120-day task force assessing AI risks, opportunities, US government role.

US President Donald Trump has reportedly appointed Director of National Intelligence Jay Clayton to serve as his administration's AI czar and lead a White House task force focused on what Trump calls "super intelligence". The task force, named the "Super Intelligence Force", will examine the risks and opportunities associated with artificial intelligence and is expected to submit its findings within 120 days, according to a report by The Wall Street Journal. Clayton's appointment places the US intelligence chief at the centre of the administration's efforts to strengthen the country's position in advanced artificial intelligence and address potential national security risks linked to the technology.

The task force will assess the risks posed by AI, review existing government mechanisms for reporting incidents such as hacks and breaches, and recommend ways to improve the federal government's ability to respond under existing authorities, according to the report. Its work will also examine the opportunities created by advanced AI systems and the measures needed to ensure the US maintains an advantage over foreign adversaries. The panel's mandate could extend beyond the initial 120-day period if additional work is considered necessary, while its functions could also eventually be transferred to a government agency.

Clayton said Trump had tasked the panel with helping ensure that the US remains ahead in what the President refers to as "super intelligence". The intelligence chief stressed that failing to lead in the technology could create additional risks, particularly in relation to foreign adversaries. "The risk of not being first is high," Clayton said. He added that falling behind could increase both identified and unidentified risks, while maintaining a leading position would give the US a better ability to address those threats on behalf of Americans. His comments underline the administration's focus on AI leadership as both a technological and national security priority.

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The task force is expected to examine how AI-related risks are currently managed across the federal government and whether existing reporting and response systems are adequate for emerging threats. According to officials cited in the report, the task force is expected to rely on the technology industry as the primary vehicle for managing AI-related risks. Clayton indicated that mechanisms for addressing such risks could be developed through dialogue, similar to approaches used in other industries. The panel will therefore consider how government authorities and industry can work together while operating within existing regulatory and institutional frameworks.

Clayton's role as AI czar comes alongside his responsibilities as the US director of national intelligence, giving the initiative a direct connection to the country's broader national security establishment. The administration's emphasis on "super intelligence" reflects Trump's stated preference for the term while discussing advanced AI and its strategic importance. The task force's review is expected to cover both the potential benefits of the technology and the risks that could emerge as AI systems become more capable. Its recommendations could influence how federal agencies prepare for AI-related incidents and respond to threats involving advanced systems.

The task force will be supported by three vice chairs: Emil Michael, Scott Kupor and Federal Trade Commission Chair Andrew Ferguson. The panel's work is expected to culminate in a report assessing AI-related risks, opportunities and the appropriate role of the US government in addressing them. While the initial mandate is set at 120 days, the task force could continue beyond that period if required. Its findings are likely to form part of the administration's wider approach to maintaining US leadership in advanced AI while determining how government and industry should share responsibility for managing the technology's risks.

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