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Turing Lectures - Generative AI

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Category: KI allgemein
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The Turing Lectures are back for 2023, at London's Royal Institute. In this series, we'll explore the various angles of large-language models and generative AI in the public eye. Across three lectures, we aim to provide a comprehensive, thoughtful and engaging understanding of this rapidly emerging field and its impact on society.
 
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 Generative AI refers to a type of artificial intelligence that involves creating new and original data or content. Unlike traditional AI models that rely on large datasets and algorithms to classify or predict outcomes, generative AI models are designed to learn the underlying patterns and structure of the data and generate novel outputs that mimic human creativity. ChatGPT is perhaps the most well-known example, but the field is far larger and more varied than text generation. Other applications of generative AI include image and video synthesis, speech generation, music composition, and virtual reality.
In this lecture, Professor Mirella Lapata will present an overview of this exciting—sometimes controversial—and rapidly evolving field. Mirella Lapata is professor of natural language processing in the School of Informatics at the University of Edinburgh.
Her research focuses on getting computers to understand, reason with, and generate natural language. She is the first recipient (2009) of the British Computer Society and Information Retrieval Specialist Group (BCS/IRSG) Karen Sparck Jones award and a Fellow of the Royal Society of Edinburgh, the ACL, and Academia Europaea.
 
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
 
 
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 As generative AI becomes increasingly sophisticated, its potential to revolutionise the way we interact with data is clear. It has already shown its ability to assist with tasks such as image and video synthesis, text and speech generation, and music composition. However, the rapid development of generative AI models has also raised concerns about their misuse, particularly in the context of disinformation campaigns, deepfakes and online harassment. Are generative AI models moving too fast for regulation to keep up? Will the development of generative AI outpace our ability to ensure their responsible use?
 
In this lecture, Dr Mhairi Aitken will examine what this means for online and offline safety and discuss how society might be able to mitigate these risks. Mhairi Aitken is an Ethics Fellow in the Public Policy Programme at The Alan Turing Institute, and an Honorary Senior Fellow at Australian Centre for Health Engagement, Evidence and Values (ACHEEV) at the University of Wollongong in Australia.
 
She is a Sociologist whose research examines social and ethical dimensions of digital innovation particularly relating to uses of data and AI. She was included in the 2023 international list of “100 Brilliant Women in AI Ethics”.
 
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.
 
 
 
 
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 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.