Artwork

Contenido proporcionado por The Lawfare Institute. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Lawfare Institute o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Player FM : aplicación de podcast
¡Desconecta con la aplicación Player FM !

Lawfare Daily: Kevin Frazier on Prioritizing AI Research

32:54
 
Compartir
 

Manage episode 437840983 series 56794
Contenido proporcionado por The Lawfare Institute. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Lawfare Institute o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Associate Professor at the University of Minnesota Law School and Lawfare Senior Editor Alan Rozenshtein sits down with Kevin Frazier, Assistant Professor of Law at St. Thomas University College of Law, Co-Director of the Center for Law and AI Risk, and a Tarbell Fellow at Lawfare. They discuss a new paper that Kevin has published as part of Lawfare’s ongoing Digital Social Contract paper series titled “Prioritizing International AI Research, Not Regulations.”

Frazier sheds light on the current state of AI regulation, noting that it's still in its early stages and is often under-theorized and under-enforced. He underscores the need for more targeted research to better understand the specific risks associated with AI models. Drawing parallels to risk research in the automobile industry, Frazier also explores the potential role of international institutions in consolidating expertise and establishing legitimacy in AI risk research and regulation.

To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/c/trumptrials.

Support this show http://supporter.acast.com/lawfare.



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

2243 episodios

Artwork
iconCompartir
 
Manage episode 437840983 series 56794
Contenido proporcionado por The Lawfare Institute. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Lawfare Institute o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Associate Professor at the University of Minnesota Law School and Lawfare Senior Editor Alan Rozenshtein sits down with Kevin Frazier, Assistant Professor of Law at St. Thomas University College of Law, Co-Director of the Center for Law and AI Risk, and a Tarbell Fellow at Lawfare. They discuss a new paper that Kevin has published as part of Lawfare’s ongoing Digital Social Contract paper series titled “Prioritizing International AI Research, Not Regulations.”

Frazier sheds light on the current state of AI regulation, noting that it's still in its early stages and is often under-theorized and under-enforced. He underscores the need for more targeted research to better understand the specific risks associated with AI models. Drawing parallels to risk research in the automobile industry, Frazier also explores the potential role of international institutions in consolidating expertise and establishing legitimacy in AI risk research and regulation.

To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/c/trumptrials.

Support this show http://supporter.acast.com/lawfare.



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

2243 episodios

Semua episod

×
 
Loading …

Bienvenido a Player FM!

Player FM está escaneando la web en busca de podcasts de alta calidad para que los disfrutes en este momento. Es la mejor aplicación de podcast y funciona en Android, iPhone y la web. Regístrate para sincronizar suscripciones a través de dispositivos.

 

Guia de referencia rapida