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E1: Alan Brown

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Manage episode 474868380 series 3495401
Content provided by Martin Parr. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Martin Parr or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Today I am talking to Professor Alan Brown, Professor of Digital Economy at the University of Exeter and Director of Artificial Intelligence (AI) for Digital Leaders. We talk about how small and medium sized companies can get the best from AI. We cover how AI can help in education. We also talk about the Feasibility, viability and desirability of new solutions. We will look at relationships with technology, how AI can improve education and how adoption of new technology can be affected by people’s perceived vulnerability – ultimately the question is how can people learn to trust technology?

  continue reading

78 episodes

Artwork
iconShare
 
Manage episode 474868380 series 3495401
Content provided by Martin Parr. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Martin Parr or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Today I am talking to Professor Alan Brown, Professor of Digital Economy at the University of Exeter and Director of Artificial Intelligence (AI) for Digital Leaders. We talk about how small and medium sized companies can get the best from AI. We cover how AI can help in education. We also talk about the Feasibility, viability and desirability of new solutions. We will look at relationships with technology, how AI can improve education and how adoption of new technology can be affected by people’s perceived vulnerability – ultimately the question is how can people learn to trust technology?

  continue reading

78 episodes

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