Artificial Intelligence: Public Services Debate
Full Debate: Read Full DebateBaroness Bull
Main Page: Baroness Bull (Crossbench - Life peer)Department Debates - View all Baroness Bull's debates with the Department for Science, Innovation & Technology
(2 days, 7 hours ago)
Lords ChamberOnce again, that is a very important question. The noble Baroness is absolutely right. It is as true for AI as it is for other systems: rubbish in, rubbish out. Well-curated, properly understood datasets are crucial. It is one of the reasons that where there are well-documented, well-curated datasets that can be used to train models for government purposes, we will be pursuing those. We will use the AI assurance mechanism that I discussed previously to try to make sure that we identify where there are systems that carry risks such as the one the noble Baroness raises.
My Lords, the Minister will know that the US and China are currently responsible for the 80% of the world’s largest AI models. Does he agree that in an increasingly unstable geopolitical environment, and with clear evidence of diversions on values, Europe’s dependency could quickly become a vulnerability, in terms of not just public services but the upholding of our democratic values? Given that the EU and UK have complementary strengths and values in common, will he persuade the Government to pursue, with the EU, a shared attempt to close the competitive gap? Might this be on the agenda at the EU-UK summit in May, given that the trade and co-operation agreement is totally silent on AI?
We are working closely with our friends in Europe on AI, both at the safety and security level through the AI Security Institute and more broadly. We have a bilateral meeting with France coming up in July, where this will be discussed. There is a need for all of us to think about which models we want to rely on and become dependent on and, indeed, where models can be made that are not general-purpose, wide, generative models but narrower models that can answer the questions we need to answer. Not everything comes down to broad, generative AI.