Trump plan to combat AI risks hinges on Big Tech pals policing themselves

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-10-01T00:10:37.808Z • Permanent link

Donald Trump's plan to combat AI risks hinges on Big Tech pals policing themselves, according to a recent meeting between the President and a group of influential tech executives. The meeting, which took place at the White House in January, saw Trump push for greater industry cooperation on AI safety and ethics. According to sources, Google DeepMind CEO Demis Hassabis was present at the meeting, as were representatives from Microsoft, Facebook, and Amazon. The meeting was seen as a significant step towards addressing the growing concerns around AI safety and the need for greater regulation.

Hassabis has long been a proponent of the idea that AI safety can be achieved through self-regulation by the industry. In a recent interview with Bloomberg, he stated that "the most effective way to regulate AI is to have the companies that develop it regulate themselves." Trump's plan seems to align with this approach, with the President urging the tech giants to take greater responsibility for ensuring that their AI systems are safe and transparent. This approach has been met with skepticism by some, who argue that it may not be enough to address the growing risks associated with AI.

Sources close to the meeting suggest that Trump's plan will focus on establishing a new task force within the tech industry to oversee the development and deployment of AI systems. The task force will be responsible for developing and enforcing industry-wide standards for AI safety and ethics, as well as identifying and mitigating potential risks. While details of the plan are still sketchy, it is clear that Trump's approach is designed to balance the need for regulation with the need for industry cooperation and innovation.

Trump's plan to combat AI risks hinges on Big Tech pals policing themselves has significant implications for the Google DeepMind domain. For example, the plan could impact the development of AlphaFold, a cutting-edge AI system developed by DeepMind that is capable of predicting the structure of proteins with unprecedented accuracy. If the plan is successful, it could pave the way for the widespread adoption of AlphaFold and other AI systems that have the potential to revolutionize fields such as medicine and finance.

However, the plan also raises concerns about the potential risks associated with AI, particularly in the context of autonomous vehicles and other safety-critical applications. Companies such as Waymo, a self-driving car startup backed by Alphabet, the parent company of DeepMind, will need to ensure that their AI systems meet the new industry standards for safety and ethics. Failure to do so could result in significant regulatory scrutiny and reputational damage.

The plan also has significant implications for the broader research community, which has long been skeptical of the idea that AI can be regulated through self-policing. Researchers at institutions such as MIT and Stanford have raised concerns about the lack of transparency and accountability in AI decision-making, and have called for greater regulation and oversight. Trump's plan may address some of these concerns, but it is unclear whether it will be enough to satisfy the growing demand for greater accountability and transparency in AI.