The Turing Lectures: The future of generative AI

With their ability to generate human-like language and complete a variety of tasks, generative AI has the potential to revolutionise the way we communicate, learn and work. But what other doors will this technology open for us, and how can we harness it to make great leaps in technology innovation? Have we finally done it? Have we cracked AI?
Join Professor Michael Wooldridge for a fascinating discussion on the possibilities and challenges of generative AI models, and their potential impact on societies of the future.
Michael Wooldridge is Director of Foundational AI Research and Turing AI World-Leading Researcher Fellow at The Alan Turing Institute. His work focuses on multi-agent systems and developing techniques for understanding the dynamics of multi-agent systems. His research draws on ideas from game theory, logic, computational complexity, and agent-based modelling. He has been an AI researcher for more than 30 years and has published over 400 scientific articles on the subject.
This lecture is part of a series of events - How AI broke the internet - that explores the various angles of large-language models and generative AI in the public eye.
This series of Turing Lectures is organised in collaboration with The Royal Institution of Great Britain.

[@focusound]

I am 64 and use GEN AI to analysis this video and get 7 key points, then drop sharing this video to whom maybe concert.
this is future and changing youtuber innovation themselves.

[@focusound]

I don’t have too many life to have a sit and waiting till the final.
and I don’t know if children do like me in the future with a powerful AI

[@americancitizen748]

A cat on a stop sign on a truck, oh my!

[@yloohalt1117]

Well done.

[@Bhp0007]

Awesome

[@JennyGavinWear]

Senior developers in AI companies are quitting their jobs because they believe we have already gone to far. Yet you disregard them with flippancy.
I find this scary because at no point did you even consider contingency plans if AI ever gets off the rails.
You don't care that we are using output from AI that is so frequently wrong it is just unreliable. You don't care about so much that is wrong with AI that it can be the case that you benefit in some way from protecting AI.
This lecture was vacuous. Either through incompetence or by deliberately lieing you failed to mention major long term fears or even immediate maluse of a deeply broken technology.
My question: When are you going to start being honest and transparent about the current AI platform and the direction it is heading with no constraints?