Robustly Beneficial Podcast
A weekly Technology podcast
Good podcast? Give it some love!
Robustly Beneficial Podcast
Episodes
Episodes of Robustly Beneficial Podcast
Mark All
Search Episodes...
#TheSocialDilemma is a recent Netflix documentary on the concerning side effects of social medias and recommandation algorithms on mental health, political manipulation and misinformation, among other issues. We discuss the documentary, and our
In this episode, we discuss The Complexity of Agreement (https://arxiv.org/abs/cs/0406061), published by Scott Aaronson in the Symposium on the Theory of Computing, we also go beyond the paper to discuss the various forms several communities fr
Lê, Mahdi and Louis discuss a class proposal by Lê and Mahdi on computable philosophy. The video provides a brief overview of some of the contents of the class proposal, including the relation between laws and algorithms, the need for learning,
Lê, Mahdi and Louis discuss information and disinformation related to vaccines on social media and what can be done to improve the current situation. Specifically focusing on the analysis and results from the paper "The online competition betwe
In this episode, we discuss the entry on ethics of artificial intelligence and robotics in the Stanford encyclopaedia of philosophy: https://plato.stanford.edu/entries/ethics-ai/
Exposure to opposing views on social media can increase political polarization. Christopher A. Baila, Lisa P. Argyleb , Taylor W. Browna , John P. Bumpusa , Haohan Chenc , M. B. Fallin Hunzakerd , Jaemin Leea , Marcus Manna , Friedolin Merhouta
In this episode we discuss the philosophical aspect of computing and share what we learned from Scott Aaronson's essay: Why Philosopher Should Care About Computational Complexity (https://www.scottaaronson.com/papers/philos.pdf)
In this episode, we discuss a recent collaborative report on trustworthy artificial intelligence development.To read the report: https://www.towardtrustworthyai.com/
We discuss ideas presented on this blog post by Jürgen Schmidhuber, and beyond.http://people.idsia.ch/~juergen/ai-covid.htmlTimecodes : 1:55 Population-scale analysis9:11 Individual risk assessment22:11 Drug discovery30:22 Recommender sy
The cartoon by Nicky Case explaining digital contact tracing: https://ncase.me/contact-tracing/The white paper explaining the DP-3T protocol app: https://github.com/DP-3T/documents/blob/master/DP3T%20White%20Paper.pdf
In this episode, we discuss the security and privacy challenges in machine learning.A Marauder's Map of Security and Privacy in Machine Learning | Nicolas Papernot https://arxiv.org/abs/1811.01134
We discuss the exploration-exploitation dilemma and near-optimal solutions found by mathematicians.Some relevant ressources include:Bayesian Adaptive Methods for Clinical Trials. CRC Press. Berry, Carlin, Lee & Muller (2010).https://www.cr
AI Safety via Debate:https://arxiv.org/pdf/1805.00899.pdf
In this episode, Lê Louis and El Mahdi discuss social media manipulation and the difficult question of misinformation spread on social media. We also comment a bit on the current coronavirus pandemic context.SmarterEveryday playlist on Social
WeBuildAI: Participatory Framework for Algorithmic Governance. LKKKY+19https://www.cs.cmu.edu/~akahng/papers/webuildai.pdfFind out more on the RB Wiki:https://robustlybeneficial.org/wiki/index.php?title=Social_choicehttps://robustlybenefic
A Roadmap for Robust End-to-End Alignment. Lê Nguyên Hoang 18.https://arxiv.org/pdf/1809.01036Find out more on the Robustly Beneficial Wiki:https://robustlybeneficial.org/wiki/index.php?title=ABCDE_roadmapNext week's paper is WeBuildAI: P
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model.SAHSS+19.https://arxiv.org/abs/1911.08265Find out more on the Robustly Beneficial Wiki:https://robustlybeneficial.org/wiki/index.php?title=Reinforcement_learningNext w
Intelligent Autonomous Things on the Battlefield. AI for the Internet of Everything. A Kott and E Stump 19.https://arxiv.org/ftp/arxiv/papers/1902/1902.10086.pdfSlaughterbots. Future of life Institute 17.https://www.youtube.com/watch?v=HipT
Preference learning from comparisons. Lucas Maystre 2018. EPFL PhD Thesis.https://infoscience.epfl.ch/record/255399/files/EPFL_TH8637.pdfFind out more on our Wiki:https://robustlybeneficial.org/wiki/index.php?title=Volitionhttps://robustly
Focusing on the Long-Term: It's Good for Users and Business. H Hohnhold, D O' Brien and D Tang. KDD 15.https://storage.googleapis.com/pub-tools-public-publication-data/pdf/43887.pdfFind out more on the Robustly Beneficial Wiki:https://robus
Experimental evidence of massive-scale emotional contagion through social networks. A Kramer, J Guillory and J Hancock. PNAS 14.https://www.pnas.org/content/pnas/111/24/8788.full.pdfFind out more on our Wiki!https://robustlybeneficial.org/w
Recent Advances in Algorithmic High-Dimensional Robust Statistics by Ilias Diakonikolas and Daniel M. Kane (2019)https://arxiv.org/pdf/1911.05911.pdfRobust subgaussian estimation of a mean vector in nearly linear time by Jules Depersin and G
Algorithmic accountability reporting: On the investigation of black boxes by Nicholas Diakopoulos (2014).https://academiccommons.columbia.edu/doi/10.7916/D8TT536K/downloadFind out more (not all pages have been written yet):https://robustlyb
Join Podchaser to...
- Rate podcasts and episodes
- Follow podcasts and creators
- Create podcast and episode lists
- & much more
Unlock more with Podchaser Pro
- Audience Insights
- Contact Information
- Demographics
- Charts
- Sponsor History
- and More!
- Account
- Register
- Log In
- Find Friends
- Resources
- Help Center
- Blog
- API
Podchaser is the ultimate destination for podcast data, search, and discovery. Learn More
- © 2024 Podchaser, Inc.
- Privacy Policy
- Terms of Service
- Contact Us