Do your eyes glaze over when looking at a long list of annual health insurance enrollment options – or maybe while you’re trying to calculate how much you owe the IRS? You might be wondering the same thing we are: Where’s the guidebook for all of this grown-up stuff? Whether opening a bank account, refinancing student loans, or purchasing car insurance (...um, can we just roll the dice without it?), we’re just as confused as you are. Enter: “Grown-Up Stuff: How to Adult” a podcast dedicated ...
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المحتوى المقدم من Filene Research Institute. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Filene Research Institute أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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Filene Fill-In Ep. 50: Talking Algorithms and Algorithmic Systems with Dr. Nick Seaver
MP3•منزل الحلقة
Manage episode 233072146 series 1206040
المحتوى المقدم من Filene Research Institute. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Filene Research Institute أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.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.
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82 حلقات
MP3•منزل الحلقة
Manage episode 233072146 series 1206040
المحتوى المقدم من Filene Research Institute. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Filene Research Institute أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.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.
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continue reading
82 حلقات
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