Artwork

Contenido proporcionado por Filene Research Institute. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Filene Research 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 !

Filene Fill-In Ep. 50: Talking Algorithms and Algorithmic Systems with Dr. Nick Seaver

53:57
 
Compartir
 

Manage episode 233072146 series 1206040
Contenido proporcionado por Filene Research Institute. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Filene Research 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.
What really is an algorithm? This episode dives a bit deeper into this topic that we’ve talked about here before and relates to much of our research on emerging technology. I wanted to know more, in ordinary terms, not only what an algorithm is, but how they work, and what the prevalence of the use of artificial intelligence and algorithms mean for consumer and cooperative finance. Filene’s Research Director, Taylor Nelms brings us his friend Dr. Nick Seaver, Assistant Professor of Anthropology at Tufts University, who has written a book about the making of algorithmic music recommendations, to provide us some clarity on this cloudy topic. In this episode, we explore how algorithms can be a series of steps to follow to turn an input into an output – that’s an algorithm, or it can be more complex machine learning software process that learns from the source data and makes use of it to provide a future prediction – that’s an algorithmic system. Nick also teaches us why you can’t just “set it and forget it” with these types of algorithmic systems, and what can go wrong if you do that. The coolest part is when we explore how amazing it would be for credit unions to be the ones to make data portable for their members, let them decide to participate in the data’s use and have power over how they are represented in the data… Just don’t be caught calling an algorithmic system an algorithm… Visit filene.org/trusttech for more information on the "Future of Trust" event mentioned in this episode.
  continue reading

82 episodios

Artwork
iconCompartir
 
Manage episode 233072146 series 1206040
Contenido proporcionado por Filene Research Institute. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Filene Research 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.
What really is an algorithm? This episode dives a bit deeper into this topic that we’ve talked about here before and relates to much of our research on emerging technology. I wanted to know more, in ordinary terms, not only what an algorithm is, but how they work, and what the prevalence of the use of artificial intelligence and algorithms mean for consumer and cooperative finance. Filene’s Research Director, Taylor Nelms brings us his friend Dr. Nick Seaver, Assistant Professor of Anthropology at Tufts University, who has written a book about the making of algorithmic music recommendations, to provide us some clarity on this cloudy topic. In this episode, we explore how algorithms can be a series of steps to follow to turn an input into an output – that’s an algorithm, or it can be more complex machine learning software process that learns from the source data and makes use of it to provide a future prediction – that’s an algorithmic system. Nick also teaches us why you can’t just “set it and forget it” with these types of algorithmic systems, and what can go wrong if you do that. The coolest part is when we explore how amazing it would be for credit unions to be the ones to make data portable for their members, let them decide to participate in the data’s use and have power over how they are represented in the data… Just don’t be caught calling an algorithmic system an algorithm… Visit filene.org/trusttech for more information on the "Future of Trust" event mentioned in this episode.
  continue reading

82 episodios

همه قسمت ها

×
 
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