The Turing Lectures: Addressing the risks of generative AI

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Join the second chapter of the three-part Turing Lecture series: How AI broke the internet.

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<h2>Introduction</h2>In this series, we&#x27;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.<ol><li><a href="https://www.eventbrite.co.uk/e/675496075947" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The Turing Lectures: What is generative AI?</a></li><li><a href="https://www.eventbrite.co.uk/e/675523287337" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The Turing Lectures: Addressing the risks of generative AI</a></li><li><a href="https://eventbrite.co.uk/e/675526868047/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The Turing Lectures: The future of generative AI</a></li></ol>An access fund is available for anyone who would not otherwise be able to attend. Please contact events@turing.ac.uk to enquire.<h2>A﻿ddressing the risks of generative AI</h2>As generative AI becomes increasingly sophisticated, its potential to revolutionize 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, 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 series of Turing Lectures is organised in collaboration with <a href="https://www.turing.ac.uk/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The Alan Turing Institute. </a>This is a theatre event, where the speaker and audience in our theatre are joined by an online audience. For Theatre attendees, the address is 21 Albemarle Street, London, W1S 4BS.The Royal Institution would like to request the demographic data to be provided to The Alan Turing Institute to allow them to monitor the equality and diversity of the audience for this event. This data is optional and will be separated from your name, contact details and other information in your booking. The data will be stored by the privacy notice of The Alan Turing Institute.By booking to attend events at the Royal Institution, you confirm that you have read and agree to the Ri&#x27;s <a href="https://www.rigb.org/terms-and-conditions" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">event terms and conditions.</a>Image credits: ThisIsEngineering via Pexels

Agenda

Welcome and introduction

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