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İçerik Centre for the Study of Governance and Society and Centre for the Study of Governance tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Centre for the Study of Governance and Society and Centre for the Study of Governance veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
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The data that is and that data the isn’t: the pitfalls of using big data: In conversation with Diane Coyle

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Manage episode 361063492 series 2494687
İçerik Centre for the Study of Governance and Society and Centre for the Study of Governance tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Centre for the Study of Governance and Society and Centre for the Study of Governance veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

On this week’s episode of the Governance Podcast, Mark Pennington, the Director at the Study of Governance and Society here at King College London, interviews Professor Diane Coyle. This episode is titled "The data that is and that data the isn't: the pitfalls of using big data", and discusses the various uses and implications of big data in society, and the many pitfalls that may arise.

The Conversation

‘Big Data’ fuels AI models like ChatGPT and the machine learning systems that are generating much debate about their promise – and peril – for decision-making. The impact of the technology will depend on the character of the data used. While the issue of data bias is well-understood (although not solved), less attention has been paid to other aspects such as data quality (is the data an accurate measure of the underlying object?), missing data (do we have only part of the picture?), and the meaning of data (how are the underlying concepts represented by the data constructed and interpreted)? As AI models are advancing fast enough to be deployed increasingly widely in society, there is a pressing need to reflect on the perspective on our social world created for them through the data on which they are trained and updated.

The Guest

Professor Diane Coyle is the Bennett Professor of Public Policy at the University of Cambridge. Diane co-directs the Bennett Institute where she heads research under the themes of progress and productivity. Her latest book is ‘Cogs and Monsters: What Economics Is, and What It Should Be‘ on how economics needs to change to keep pace with the twenty-first century and the digital economy. Diane is also a Director of the Productivity Institute, a Fellow of the Office for National Statistics, an expert adviser to the National Infrastructure Commission, and Senior Independent Member of the ESRC Council. She has served in public service roles including as Vice Chair of the BBC Trust, member of the Competition Commission, of the Migration Advisory Committee and of the Natural Capital Committee. Diane was Professor of Economics at the University of Manchester until March 2018 and was awarded a CBE for her contribution to the public understanding of economics in the 2018 New Year Honours.

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74 bölüm

Artwork
iconPaylaş
 
Manage episode 361063492 series 2494687
İçerik Centre for the Study of Governance and Society and Centre for the Study of Governance tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Centre for the Study of Governance and Society and Centre for the Study of Governance veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

On this week’s episode of the Governance Podcast, Mark Pennington, the Director at the Study of Governance and Society here at King College London, interviews Professor Diane Coyle. This episode is titled "The data that is and that data the isn't: the pitfalls of using big data", and discusses the various uses and implications of big data in society, and the many pitfalls that may arise.

The Conversation

‘Big Data’ fuels AI models like ChatGPT and the machine learning systems that are generating much debate about their promise – and peril – for decision-making. The impact of the technology will depend on the character of the data used. While the issue of data bias is well-understood (although not solved), less attention has been paid to other aspects such as data quality (is the data an accurate measure of the underlying object?), missing data (do we have only part of the picture?), and the meaning of data (how are the underlying concepts represented by the data constructed and interpreted)? As AI models are advancing fast enough to be deployed increasingly widely in society, there is a pressing need to reflect on the perspective on our social world created for them through the data on which they are trained and updated.

The Guest

Professor Diane Coyle is the Bennett Professor of Public Policy at the University of Cambridge. Diane co-directs the Bennett Institute where she heads research under the themes of progress and productivity. Her latest book is ‘Cogs and Monsters: What Economics Is, and What It Should Be‘ on how economics needs to change to keep pace with the twenty-first century and the digital economy. Diane is also a Director of the Productivity Institute, a Fellow of the Office for National Statistics, an expert adviser to the National Infrastructure Commission, and Senior Independent Member of the ESRC Council. She has served in public service roles including as Vice Chair of the BBC Trust, member of the Competition Commission, of the Migration Advisory Committee and of the Natural Capital Committee. Diane was Professor of Economics at the University of Manchester until March 2018 and was awarded a CBE for her contribution to the public understanding of economics in the 2018 New Year Honours.

  continue reading

74 bölüm

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