logo
episode-header-image
Dec 2017
33m 17s

Artificial Intelligence, a Podcast Appro...

Kyle Polich
About this episode

This episode kicks off the next theme on Data Skeptic: artificial intelligence.  Kyle discusses what's to come for the show in 2018, why this topic is relevant, and how we intend to cover it.

Up next
Oct 9
Sustainable Recommender Systems for Tourism
In this episode, we speak with Ashmi Banerjee, a doctoral candidate at the Technical University of Munich, about her pioneering research on AI-powered recommender systems in tourism. Ashmi illuminates how these systems can address exposure bias while promoting more sustainable to ... Show More
38m 2s
Sep 22
Interpretable Real Estate Recommendations
In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich interviews Dr. Kunal Mukherjee, a postdoctoral research associate at Virginia Tech, about the paper "Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations" The discussion explores ... Show More
32m 57s
Sep 8
Why Am I Seeing This?
In this episode of Data Skeptic, we explore the challenges of studying social media recommender systems when exposure data isn't accessible. Our guests Sabrina Guidotti, Gregor Donabauer, and Dimitri Ognibene introduce their innovative "recommender neutral user model" for inferri ... Show More
49m 36s
Recommended Episodes
Jul 2018
175: Insights from the Founder of KDnuggets
In this episode of the SuperDataScience Podcast, I chat with the President and Editor at KDNuggets, Gregory Piatetsky-Shapiro. You will hear about the recent advancements in Data Science, learn how Reinforcement Learning can greatly improve AI capabilities, and learn about the no ... Show More
53m 22s
Sep 2022
Special Episode: Language in Brains and Machines
A special interview from the Padverb Podcast, in which I discuss my research on language in the brain and thoughts on AI. The discussion covers topics such as backpropagation, how humans acquire language and concepts, how artificial neural networks differ from biological neural n ... Show More
1h 2m
May 2024
The TED AI Show: Is AI destroying our sense of reality? with Sam Gregory
Could you spot a deepfake? We’re entering a new world where generative AI is challenging our sense of what’s real and what’s fiction. In our first episode, Bilawal and Sam Gregory, a human rights activist and technologist, discuss how to protect our sense of reality.This is an ep ... Show More
27m 25s
Oct 2022
In Machines We Trust: AI finds its voice
Synthetic voice technologies are increasingly passing as human. But today’s voice assistants are still a far cry from the hyper-intelligent thinking machines we’ve been musing about for decades. In this episode, we explore how machines learn to communicate—and what it means for t ... Show More
27m 20s
May 2021
الإنسان الهجين : الذكاء الإصطناعي 3
نتحدث اليوم عن مستجدات مشروع نيورالينك الذي أعلن عنه إيلون مسك العام الماضي ، لتهجين الآلة ضمن الإنسان ، كيف سيربط مخ الإنسان بالأنظمة الإلكترونية من خلال منفذ يزرع في المخ .. أخذنا النقاش لنظريات المؤامرة الخاصة بالذكاء الاصطناعي الخارق ومدى إمكانية حكمه لكوكب الأرض في المستقبل ... Show More
1h 17m
Dec 2023
Open Source Revolution: AI’s Redemption in Data Science (Ep. 247)
Dive into the world of Data Science at Home with our latest episode, where we explore the dynamic relationship between Artificial Intelligence and the redemption of open source software. In this thought-provoking discussion, I share my insights on why now, more than ever, is the ... Show More
36m 47s
Dec 2022
Ethical AI
In this episode of High Theory, Alex Hanna talks with Nathan Kim about Ethical AI. Their conversation is part of our High Theory in STEM series, which tackles topics in science, technology, engineering, and medicine from a highly theoretical perspective. In this episode, Alex hel ... Show More
22m 39s
Jan 2022
The race to build AI that benefits humanity | Sam Altman
Will innovation in artificial intelligence drastically improve our lives, or destroy humanity as we know it? From the unintended consequences we've suffered from platforms like Facebook and YouTube to the danger of creating technology we can't control, it's easy to see why people ... Show More
1h 8m