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Public talks
24 Jun 2024
RSA House and Online
Can the power of AI be harnessed to create a more personalised and accessible education system? The trailblazing founder of Khan Academy, Salman Khan, offers a new roadmap to prepare students for an increasingly digital future.
17 Jun 2024
Influential scientist and entrepreneur J. Doyne Farmer shows how a more complex understanding of the economy can help us develop ideas for a fairer and more regenerative world.
06 Jun 2024
What is holding LGBTQ+ people back at work – and what can be done? Layla McCay takes a compelling look at the challenges facing LGBTQ+ professionals and offers advice from senior figures who have smashed through the rainbow ceiling.
13 May 2024
Bestselling economist Daniel Susskind looks afresh at the past, present and future of economic growth - what really drives it and how we might better direct it to what we truly value.
02 May 2024
We are approaching the biggest wealth transfer in history. Investor Ken Costa and entrepreneurs Timi Merriman-Johnson and Rachel Drapper assess the impact on our economy and society as power and influence shifts from ‘Boomers’ to ‘Zennials’.
30 Nov 2023
RSA House and online via YouTube
Charlie Paton RDI, founder and director of Seawater Greenhouse Ltd will give this year’s RDI Address exploring creative solutions to complex and interconnected global challenges.
06 Nov 2023
Economist and author Robert Skidelsky guides us through the evolution of our understanding of technology and what this means for our lives and our politics.
Video
26 Jan 2021
How did tech firms, born out of an idealistic, innovative vision, become greedy, intrusive, and excessively powerful? Economic analyst Rana Foroohar reveals how Big Tech betrayed us by selling our data without sharing the wealth.
27 Aug 2020
In this thought-provoking new RSA Short, tech ethicist James Williams warns that digital distraction is no longer just a minor annoyance but a real and present threat to human freedom and autonomy.
17 Oct 2018
We often think that algorithms are objective and fair, but they’re built to serve the people who create them – how can we make sure that the process of building algorithms is ethical?
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