I found the discussion with Sir David Spiegelhalter very interesting. One surprising thing that I learned from this conversation is that the idea of evaluating and refining predictive systems through empirical data is a relatively new concept in the history of science. It was mentioned that in the past, people made predictions and calculations but did not necessarily use empirical data to evaluate and improve their predictions. Even someone like Isaac Newton, who is known as a great theorist, considered himself an empiricist and valued the importance of data. This idea of constantly refining predictive systems based on empirical data is now widely used and considered essential in many fields, including weather forecasting.
I would want to ask Ben what ethical considerations do you think are most important when it comes to AI development and deployment? And how can we ensure that AI is used in a way that is fair, transparent, and beneficial for all? AI has the potential to revolutionize many aspects of our lives, but it also raises important ethical questions around issues like privacy, bias, and accountability. I want to ask this question to gain the speaker's views on what ethical considerations are most important and how we can ensure that AI is developed and deployed in a responsible way. This will help me better understand the potential benefits and risks of AI and how we can maximize its positive impact while minimizing its negative consequences.