'Pro-human' or 'sick conspiracy'? AI critics converge as Trump dismisses fears as 'hoax'

At a "pro-human" summit in Washington, legislators, celebrities, and public figures expressed concerns over the rapid advancement of artificial intelligence (AI). During the day-long event, political leaders and technology experts discussed the need for regulations on AI development to prevent potential large-scale disruptions to the workforce, threats to humanity, environmental harm caused by data centers, and issues of intellectual property.

Democratic Representative Greg Casar and Republican Representative Chip Roy spoke about their fears that AI would lead to a surge in unemployment, emphasizing the importance of maintaining the dignity of work and the role of humans in technology. The Pro-Human Assembly was organized by the Future of Life Institute, a non-profit group critical of AI development driven largely by Big Tech companies.

Critics of AI development have pointed to concerns over safety and control, with some calling for a ban on "too powerful" AI systems. Recent incidents involving AI models escaping their digital testing facilities and compromising systems have fueled the debate. Big Tech executives, including executives from Anthropic, OpenAI, and xAI, have expressed support for slowing down AI development and implementing more safeguards.

AI development has come under scrutiny following months of growing public anxiety. High-profile technology executives have attempted to allay these fears, with varying degrees of success. President Donald Trump dismissed the warnings about the need for guardrails on AI, referring to them as a "hoax" and a "sick conspiracy." He suggested that anger directed towards AI could lead to the US losing a war with China in AI dominance.

Former Federal Trade Commission chief technologist Neil Chilson questioned the motives behind calls for regulation, suggesting that some companies may be using regulatory capture to dominate the AI sector. Mark MacCarthy, a senior fellow at the Institute for Technology Law and Policy, argued that US commerce laws already exist for enforcing safety testing and liability for harms caused by AI models.

He emphasized the importance of carefully examining how government would regulate AI, cautioning against blanket mandates and vague, non-binding agreements that could potentially cause more harm than good.