Artwork

A tartalmat a AMT Lab, Arts Management, and Technology Lab biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a AMT Lab, Arts Management, and Technology Lab vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
Player FM - Podcast alkalmazás
Lépjen offline állapotba az Player FM alkalmazással!

The Impacts of Big Data and AI on the Arts, Our Culture and Society

53:12
 
Megosztás
 

Manage episode 487276916 series 1261101
A tartalmat a AMT Lab, Arts Management, and Technology Lab biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a AMT Lab, Arts Management, and Technology Lab vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

What are the implications of AI and algorithmic governance on culture and creative industries? To answer these and other questions, the Arts Management and Technology Laboratory gathered a panel of experts on campus at Carnegie Mellon University. Working across arts, media, data, and technology, panelists discuss frameworks for understanding how power flows within and between these industries.

This episode of the Tech in the Arts podcast is a recording from the program, held in April. The discussion is moderated by Lead Researcher Ian Hawthorne, and features

  • Eleanor Mattern, Director of the Sara Fine Institute and a teaching assistant professor at the University of Pittsburgh's School of Computing and Information. Her teaching and research interests include archives and digital curation, community-centered information work, civic engagement, and information policy and ethics.
  • Emma Slayton, Data Education Librarian at the Carnegie Mellon University Libraries. Emma is an expert in data and AI literacies, GIS, and data visualization, she helps researchers and students develop their own data stories for publication and sharing. As a social scientist, she focuses on using computer modelling to analyze big data.
  • Samantha Shorey, Visiting Assistant Professor at the University of Pittsburgh. Samantha is a design researcher who studies automated technologies — such as AI and robots — in the workplace. In her research, she seeks to highlight the labor and innovation of people who are often overlooked in media narratives about new technologies.

See more at amt-lab.org

  continue reading

100 epizódok

Artwork
iconMegosztás
 
Manage episode 487276916 series 1261101
A tartalmat a AMT Lab, Arts Management, and Technology Lab biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a AMT Lab, Arts Management, and Technology Lab vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

What are the implications of AI and algorithmic governance on culture and creative industries? To answer these and other questions, the Arts Management and Technology Laboratory gathered a panel of experts on campus at Carnegie Mellon University. Working across arts, media, data, and technology, panelists discuss frameworks for understanding how power flows within and between these industries.

This episode of the Tech in the Arts podcast is a recording from the program, held in April. The discussion is moderated by Lead Researcher Ian Hawthorne, and features

  • Eleanor Mattern, Director of the Sara Fine Institute and a teaching assistant professor at the University of Pittsburgh's School of Computing and Information. Her teaching and research interests include archives and digital curation, community-centered information work, civic engagement, and information policy and ethics.
  • Emma Slayton, Data Education Librarian at the Carnegie Mellon University Libraries. Emma is an expert in data and AI literacies, GIS, and data visualization, she helps researchers and students develop their own data stories for publication and sharing. As a social scientist, she focuses on using computer modelling to analyze big data.
  • Samantha Shorey, Visiting Assistant Professor at the University of Pittsburgh. Samantha is a design researcher who studies automated technologies — such as AI and robots — in the workplace. In her research, she seeks to highlight the labor and innovation of people who are often overlooked in media narratives about new technologies.

See more at amt-lab.org

  continue reading

100 epizódok

Minden epizód

×
 
Loading …

Üdvözlünk a Player FM-nél!

A Player FM lejátszó az internetet böngészi a kiváló minőségű podcastok után, hogy ön élvezhesse azokat. Ez a legjobb podcast-alkalmazás, Androidon, iPhone-on és a weben is működik. Jelentkezzen be az feliratkozások szinkronizálásához az eszközök között.

 

Gyors referencia kézikönyv

Hallgassa ezt a műsort, miközben felfedezi
Lejátszás