Artwork

Conteúdo fornecido por New Books Network and Marshall Poe. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por New Books Network and Marshall Poe ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Player FM - Aplicativo de podcast
Fique off-line com o app Player FM !

Matt Beane, "The Skill Code: How to Save Human Ability in an Age of Intelligent Machines" (HarperCollins, 2024)

1:30:01
 
Compartilhar
 

Manage episode 457101425 series 2508293
Conteúdo fornecido por New Books Network and Marshall Poe. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por New Books Network and Marshall Poe ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

As part of our informal series on artificial intelligence, Peoples & Things host, Lee Vinsel, talks with Matt Beane, Assistant Professor of Technology Management at the University of California, Santa Barbara, about his book The Skill Code: How to Save Human Ability in the Age of Intelligent Machines (HarperCollins, 2024).

Beane outlines the fascinating forms of research he did - both his own ethnographic work and reanalyzing the data of other ethnographers - to better understand how automating technologies are being adopted in organizational settings and how such adoption may threaten traditional mentor-mentee relationships through which junior workers learn crucial skills. Beane also discusses ways in which the worst negative skill-learning outcomes may be avoided and his own work trying to create new training systems to improve our current situation.

Learn more about your ad choices. Visit megaphone.fm/adchoices

Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/politics-and-polemics

  continue reading

1466 episódios

Artwork
iconCompartilhar
 
Manage episode 457101425 series 2508293
Conteúdo fornecido por New Books Network and Marshall Poe. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por New Books Network and Marshall Poe ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

As part of our informal series on artificial intelligence, Peoples & Things host, Lee Vinsel, talks with Matt Beane, Assistant Professor of Technology Management at the University of California, Santa Barbara, about his book The Skill Code: How to Save Human Ability in the Age of Intelligent Machines (HarperCollins, 2024).

Beane outlines the fascinating forms of research he did - both his own ethnographic work and reanalyzing the data of other ethnographers - to better understand how automating technologies are being adopted in organizational settings and how such adoption may threaten traditional mentor-mentee relationships through which junior workers learn crucial skills. Beane also discusses ways in which the worst negative skill-learning outcomes may be avoided and his own work trying to create new training systems to improve our current situation.

Learn more about your ad choices. Visit megaphone.fm/adchoices

Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/politics-and-polemics

  continue reading

1466 episódios

Todos os episódios

×
 
Loading …

Bem vindo ao Player FM!

O Player FM procura na web por podcasts de alta qualidade para você curtir agora mesmo. É o melhor app de podcast e funciona no Android, iPhone e web. Inscreva-se para sincronizar as assinaturas entre os dispositivos.

 

Guia rápido de referências

Ouça este programa enquanto explora
Reproduzir