Microsoft President Brad Smith has called for stronger global safety regulations for artificial intelligence (AI), arguing that everyday products such as milk and washing machines face more established safety requirements than advanced AI systems.
In an interview with the BBC, Smith said AI needs a coordinated framework that includes independent safety evaluations, mandatory incident reporting and mechanisms to stop systems that behave dangerously. He compared the oversight of AI with the established safety rules and inspections applied to food products, including milk.
Why Milk Became Part of the AI Regulation Debate
Smith’s comparison highlights the role of food-safety regulation in protecting consumers. Milk sold through regulated supply chains is subject to applicable food standards, testing and inspection requirements, while governance frameworks for rapidly advancing AI systems continue to evolve.
His comments do not suggest that milk and AI have the same risks. Rather, he used dairy safety as an example of how established product-safety practices could inform the development of safeguards for emerging technologies.
Three Safeguards Proposed for AI
Smith called for a global approach to AI safety that includes:
- Independent evaluation: External experts should assess the capabilities and risks of advanced AI systems before deployment.
- Incident reporting: Companies should have a legal obligation to document and report significant AI-related incidents.
- Emergency controls: Systems should have mechanisms to stop or contain dangerous behaviour, with affected parties notified when rogue AI agents breach their systems.
These measures are intended to strengthen accountability as AI agents become capable of carrying out complex tasks with limited human intervention.
What the Dairy Industry Can Take From the Comparison
For dairy processors and food businesses, the comparison underlines the importance of clear safety standards, documented procedures, testing and traceability. These practices help demonstrate that products meet applicable requirements and provide a basis for investigating problems when they arise.
The broader lesson is that safety frameworks need to evolve alongside the products and technologies they govern. While dairy and AI require different technical approaches, both debates raise questions about risk assessment, accountability and consumer protection.
UK’s Role in AI Safety
Smith identified the United Kingdom as a potential leader in AI oversight, citing its AI Security Institute and its access to advanced models through voluntary agreements with developers. UK officials have indicated that stronger regulation of advanced AI models could be considered if existing arrangements prove insufficient.
The debate reflects a wider challenge for regulators: enabling innovation while ensuring that risks are evaluated and that companies are accountable for the systems they develop.
For the dairy sector, Smith’s remarks offer an unexpected reminder that routine food-safety controls can provide useful lessons for other industries seeking to build public trust.
Source: Dairynews7x7 13 Oct, 2026 Read full article here
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