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1 |
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Digital News Report 2023. Episode 4: Attitudes towards algorithms and their impact on news |
In this episode of our #DNR23 podcast series we explore people’s attitudes towards algorithmic selection of news and the correlation with attitudes towards editorial selection. |
Federica Cherubini, Richard Fletcher |
28 Jun 2023 |
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2 |
Creative Commons |
A Theory of Weak-Supervision and Zero-Shot Learning |
A lecture exploring alternatives to using labeled training data. |
Eli Upfal |
09 Jun 2022 |
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3 |
Creative Commons |
Victims of Algorithmic Violence: An Introduction to AI Ethics and Human-AI Interaction |
A high-level overview of key areas of AI ethics and not-ethics, exploring the challenges of algorithmic decision-making, kinds of bias, and interpretability, linking these issues to problems of human-system interaction. |
Max Van Kleek |
06 Apr 2022 |
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4 |
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Algorithms Eliminate Noise (and That Is Very Good) |
Part of the Colloquium on AI Ethics series presented by the Institute of Ethics in AI. This event is also part of the Humanities Cultural Programme, one of the founding stones for the future Stephen A. Schwarzman Centre for the Humanities. |
John Tasioulas, Ruth Chang, Sir Nigel Shadbolt, Cass Sunstein |
05 Nov 2020 |
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5 |
Creative Commons |
The Coldest Story Ever Told: Kanye and the Up Next Algorithm |
Caithlin Mercer, Managing Editor, Yahoo!, uses the hip-hop star as an example of how social media's algorithms can enforce biased perspectives |
Caithlin Mercer |
01 Feb 2019 |
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6 |
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From Ada Lovelace to Alan Turing, the birth of AI? |
Many developments in science are achieved through people being able to ‘stand on the shoulders of giants’ and in the history of AI two giants in particular stand out. |
Peter Millican, Ursula Martin, Andrew Hodges, Jacob Ward |
19 Nov 2018 |
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7 |
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Pseudo deterministic algorithms and proofs |
In this talk I will describe what is known about pseudo-deterministic algorithms in the sequential, sub-linear and parallel setting. |
Shafi Goldwasser |
13 Jul 2018 |
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8 |
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'Artificial Intelligence' part 2 - How to create machines that learn |
Professor Nando de Freitas explains that understanding how our brains work has helped us create machines that learn, and how these learning machines can be put to completing different tasks. |
Nando de Freitas |
19 May 2015 |
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9 |
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'Artificial Intelligence' part 1 - Using artificial intelligence to spot patterns |
Professor Stephen Roberts explains how machines, whose job it is simply to learn, can help researchers spot scientific needles in data haystacks, which will help us solve some grand challenges. |
Stephen Roberts |
15 Apr 2015 |
