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

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Manage episode 233072146 series 1206040
内容由Filene Research Institute提供。所有播客内容(包括剧集、图形和播客描述)均由 Filene Research Institute 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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

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Artwork
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Manage episode 233072146 series 1206040
内容由Filene Research Institute提供。所有播客内容(包括剧集、图形和播客描述)均由 Filene Research Institute 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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

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