(6 days, 23 hours ago)
Grand CommitteeMy Lords, I shall speak briefly to Amendment 75, which was very eloquently introduced by the noble Lord, Lord Holmes. My academic background is in the research of communication and how people make decisions based on information that they are given. That touches quite a lot on how people assess the reliability and trustworthiness of data.
Amendment 75, on the labelling of AI-based products, includes a proposal about communicating the data used in the training of the AI. I think it is really important that people who have products that provide information on which they might be making decisions, or the product might be acting, are able to know the reliability and trustworthiness of that information. The cues that people use for assessing that reliability are such things as the size of the dataset, how recently that data was gathered and the source of that data—because they want to know if that data, to use the example of the noble Lord, Lord Holmes, is on American cheeses, British cheeses or Italian cheeses, all of which might need a different temperature in your fridge. I urge the Minister to look at this, because the over-trust or the under-trust in the outputs of data make such a difference to how people respond to products. I think this is very important.
My Lords, as one of the unfortunate authors of the GDPR, I am very interested to hear the remarks that have been made about possible abuse of the use of data. First, I thank my noble friend Lord Holmes very much for his amendments because, obviously, without proper consideration of the effects in technology and the fast-moving developments of AI, no legislation, particularly the sort of legislation, will really pass muster, so I support his amendments very much.
However, as far as GDPR is concerned, we brought into all of that a term that many of our European Union friends were not going to include at the time: proportional. In relation to how we deal with alleged data abuse, whether or not it is simply a question of small areas of data that have been used for good purposes or otherwise, it is important that we remember at all times that the heavy hand must be looked at carefully and that proportionality must always be remembered as being relevant to the way in which we deal with the use of data.