Is regulation enough to stop AI systems killing us all?

In a letter to The Guardian, Martyn Thomas, emeritus professor of IT at Gresham College, questions the efficacy of current regulatory approaches toward frontier AI models. Following OpenAI's recent decision to scrap a model release due to safety concerns, Thomas argues that existing calls for oversight lack a concrete methodology. He draws a parallel to safety-critical engineering sectors like aviation and nuclear power, where developers must provide rigorous 'safety cases' proving that catastrophic accidents are statistically improbable. Thomas contends that AI developers have failed to produce similar evidence or detailed risk analyses, despite the existential risks they acknowledge. He concludes that policy must be grounded in rigorous, fact-based engineering analysis rather than speculative optimism, suggesting that current regulatory frameworks are insufficient to guarantee the safety of advanced AI systems.
This is a summary. Read the full article at the original source:
The Guardian TechnologyRelated stories
The next hurdle for AI agents: getting websites to let them in
Personal AI agents are designed to streamline daily tasks like shopping, booking flights, and managing reservations. However, these autonomous systems…
Mistral’s New ‘Le Chonk’ AI Model Is Big, Open and Built for Agents
Mistral AI has unveiled its latest large language model, Mistral Large 4, internally nicknamed 'Le Chonk.' This new model is designed to be a state-of…
ChatGPT generates fake New Yorker cartoons, complete with artist signatures
OpenAI's ChatGPT is facing renewed criticism over plagiarism concerns after reports revealed the chatbot is generating images mimicking New Yorker car…



