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Bias on Artificial Intelligence

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When? This feed was archived on August 01, 2022 17:38 (1+ y ago). Last successful fetch was on October 15, 2021 05:06 (2+ y ago)

Why? Flux inactif status. Nos serveurs ont été incapables de récupérer un flux de podcast valide pour une période prolongée.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 268447746 series 1022892
Contenu fourni par Stanford Hispanic Broadcasting - Isabel Jubes. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Stanford Hispanic Broadcasting - Isabel Jubes ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Dr. Ricardo Baeza-Yates, PhD Today we are featuring a talk with Dr. Ricardo Baeza-Yates, PhD. He is CTO of NTENT, a semantic search technology company based in Northern California. He is also part-time director of data science in Northeastern University at Silicon Valley. Before, he was VP of Research at Yahoo Labs, until 2016. He obtained a Ph.D. in CS from University of Waterloo, Canada, in 1989. He is also the co-author of the best-seller Modern Information Retrieval textbook, that won the ASIST 2012 Book of the Year award. He has been member of the ACM Council and the Board of the IEEE Computer Society. He is an ACM & IEEE Fellow. For our chat today, our friend and collaborator Daniel Caselles also joins us. Our conversations center about the topic of Bias on Artificial Intelligence, how it works and what has been done to overcome it. During our conversation we touch several related topics, and the logic of why and how Bias in produced and methods to counteract it. Here, you can learn more about how it happens, and have a nice time while doing it. Remember to leave a comment on here or on any of our [...]
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15 episodes

Artwork
iconPartager
 

Série archivée ("Flux inactif" status)

When? This feed was archived on August 01, 2022 17:38 (1+ y ago). Last successful fetch was on October 15, 2021 05:06 (2+ y ago)

Why? Flux inactif status. Nos serveurs ont été incapables de récupérer un flux de podcast valide pour une période prolongée.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 268447746 series 1022892
Contenu fourni par Stanford Hispanic Broadcasting - Isabel Jubes. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Stanford Hispanic Broadcasting - Isabel Jubes ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Dr. Ricardo Baeza-Yates, PhD Today we are featuring a talk with Dr. Ricardo Baeza-Yates, PhD. He is CTO of NTENT, a semantic search technology company based in Northern California. He is also part-time director of data science in Northeastern University at Silicon Valley. Before, he was VP of Research at Yahoo Labs, until 2016. He obtained a Ph.D. in CS from University of Waterloo, Canada, in 1989. He is also the co-author of the best-seller Modern Information Retrieval textbook, that won the ASIST 2012 Book of the Year award. He has been member of the ACM Council and the Board of the IEEE Computer Society. He is an ACM & IEEE Fellow. For our chat today, our friend and collaborator Daniel Caselles also joins us. Our conversations center about the topic of Bias on Artificial Intelligence, how it works and what has been done to overcome it. During our conversation we touch several related topics, and the logic of why and how Bias in produced and methods to counteract it. Here, you can learn more about how it happens, and have a nice time while doing it. Remember to leave a comment on here or on any of our [...]
  continue reading

15 episodes

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