bbc radio 4
Cate Blanchett among BBC Radio 4 festive guest editors
Oscar-winning actress Cate Blanchett and former prime minister Baroness Theresa May are among the six public figures who will guest edit BBC Radio 4's Today programme over the Christmas period. Broadcaster Melvyn Bragg, historian and podcaster Tom Holland, inventor Sir James Dyson and Microsoft's head of artificial intelligence (AI) Mustafa Suleyman will also guest edit shows between 24 December and 31 December. For the past 22 years, the news programme has handed over the editorial reins to guest editors during the festive period. Owenna Griffiths, editor of Today, said: In a rapidly changing world, this year's guest editors will help bring illumination and understanding. She added: Every Christmas on Today, a new set of guest editors take up residence and bring with them a wonderful range of new stories, fresh ideas and, hopefully, a sprinkling of joy.
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Prunella Scales: From Fawlty Towers to Great Canal Journeys
Prunella Scales, who died at the age of 93, was one of Britain's finest comic actors. But despite a long and distinguished career on stage and screen, she will inevitably be remembered as Sybil Fawlty in the 1970s TV comedy, Fawlty Towers. It was Sybil's mission in life to keep tabs on her stick insect husband Basil - played by John Cleese - between cigarette-fuelled phone conversations with her friend, Audrey. It fell to her to placate guests who had been shouted at, totally ignored or, in some cases, throttled by Basil when in one of his more manic moods. Her nightmarish laugh, gravity-defying hairdo and ferocious temper were part of a carefully constructed character that ranks as a comic masterpiece.
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BBC Radio 4 - The Reith Lectures - Reith Lectures 2021 - Living With Artificial Intelligence
The lectures will examine what Russell will argue is the most profound change in human history as the world becomes increasingly reliant on super-powerful AI. Examining the impact of AI on jobs, military conflict and human behaviour, Russell will argue that our current approach to AI is wrong and that if we continue down this path, we will have less and less control over AI at the same time as it has an increasing impact on our lives. How can we ensure machines do the right thing? The lectures will suggest a way forward based on a new model for AI, one based on machines that learn about and defer to human preferences. The series of lectures will be held in four locations across the UK; Newcastle, Edinburgh, Manchester and London and will be broadcast on Radio 4 and the World Service as well as available on BBC Sounds.
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Reason-Checking Fake News
While deliberate misinformation and deception are by no means new societal phenomena, the recent rise of fake news5 and information silos2 has become a growing international concern, with politicians, governments and media organizations regularly lamenting the issue. A remedy to this situation, we argue, could be found in using technology to empower people's ability to critically assess the quality of information, reasoning, and argumentation through technological means. Recent empirical findings suggest "false news spreads more than the truth because humans, not robots, are more likely to spread it."10 Thus, instead of continuing to focus on ways of limiting the efficacy of bots, educating human users to better recognize fake news stories could prove more effective in mitigating the potentially devastating social impact misinformation poses. While technology certainly contributes to the distribution of fake news and similar attacks on reasonable decision-making and debate, we posit that technology--argument technology in particular--can equally be employed to counterbalance these deliberately misleading or outright false reports made to look like genuine news.
BBC Radio 4 - The Life Scientific, Demis Hassabis on artificial intelligence
In the 200th episode of The Life Scientific, Jim Al-Khalili finds out why Demis Hassabis wants to create artificial intelligence and use it to help humanity. Thinking about how to win at chess when he was a boy got Demis thinking about the process of thinking itself. Being able to program his first computer (a Sinclair Spectrum) felt miraculous. In computer chess, his two passions were combined. And a lifelong ambition to create artificial intelligence was born.
BBC Radio 4 - The Media Show, Do machines make the rights choices for children?
Algorithms are increasingly making choices for young people, from recommending new TV shows to the friends they meet. But when machines are so intelligent that they can make all these decisions, who is actually responsible? Andrea Catherwood hosts a debate at the BBC Blue Room annual conference with Anne Longfield, Children's Commissioner for England, Dr Nejra van Zalk, lecturer in psychology at Imperial College London, Hanna Adan, documentary maker and Neil Lawrence, DeepMind Professor of Machine Learning at the University of Cambridge.
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RSS at the Conservative Party Conference
Timandra Harkness is a regular on BBC Radio 4, writing and presenting BBC Radio 4's FutureProofing series and documentaries such as Data, Data Everywhere, and Personality Politics. Her book Big Data: does size matter? A regular public speaker and chair on scientific and technological topics, she works with the Cheltenham Science Festival, the British Council, the Institute of Ideas, the Wellcome Collection and a Robotics conference in Moscow, among many others. She is a member of the Royal Statistical Society and has 86% of a Mathematics and Statistics degree with the Open University. She hopes to reach 100% in 2017.
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Can a computer think like a lawyer?, Radio 4 in Four - BBC Radio 4
Artificial Intelligence has made great advances in recent years, with computer scientists developing cars without drivers, planes without pilots and mobile phones which can double up as a personal assistant. The legal profession is proving to be rich territory in the AI field too. Joshua Rozenberg meets computer scientists at the University of Liverpool, who are using'computational argumentation' to digitally decide the results of legal cases, proving that AI can be just as discerning as a court judge.
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