Robustly Beneficial Podcast

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Every week, we discuss a paper relevant to AI ethics. We try to explain the key ideas, to highlights the limits of the paper and to suggest further research questions related to the paper.... more

· Technology

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FAQs about Robustly Beneficial Podcast:

How many episodes does Robustly Beneficial Podcast have?

The podcast currently has 24 episodes available.

Robustly Beneficial Podcast episodes:

February 07, 2020 Can We Study Long Term Effects? #RB4
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.pdf
Find out more on the Robustly Beneficial Wiki:
https://robustlybeneficial.org/wiki/index.php?title=Mental_health
https://robustlybeneficial.org/wiki/index.php?title=YouTube
Next week, we will discuss:
Preference Learning from Comparisons. Lucas Maystre. PhD Thesis 18.
https://infoscience.epfl.ch/record/255399/files/EPFL_TH8637.pdf
...more
36min
January 31, 2020 Can Algorithms Choose our Emotions? #RB3
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.pdf
Find out more on our Wiki!
https://robustlybeneficial.org/wiki/index.php?title=Mental_health
https://robustlybeneficial.org/wiki/index.php?title=YouTube
https://robustlybeneficial.org/wiki/index.php?title=Online_polarization
https://robustlybeneficial.org/wiki/index.php?title=Safe_exploration
https://robustlybeneficial.org/wiki/index.php?title=Consequentialism
Next week, we discuss the following paper.
Focusing on the Long-term: It’s Good for Users and Business. H Hohnhold, D O'brien and D Tang. KDD 15.
https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf
...more
42min
January 24, 2020 Robust Statistics Against Malicious Users #RB2
Recent Advances in Algorithmic High-Dimensional Robust Statistics by Ilias Diakonikolas and Daniel M. Kane (2019)
https://arxiv.org/pdf/1911.05911.pdf
Robust subgaussian estimation of a mean vector in nearly linear time by Jules Depersin and Guillaume Lecué (2019)
https://arxiv.org/pdf/1906.03058
Find out more on our Wiki:
https://robustlybeneficial.org/wiki/index.php?title=Robust_statistics
https://robustlybeneficial.org/wiki/index.php?title=Robustly_beneficial
...more
34min
January 19, 2020 Probing Black Boxes #RB1
Algorithmic accountability reporting: On the investigation of black boxes by Nicholas Diakopoulos (2014).
https://academiccommons.columbia.edu/doi/10.7916/D8TT536K/download
Find out more (not all pages have been written yet):
https://robustlybeneficial.org/wiki/index.php?title=Interpretability
https://robustlybeneficial.org/wiki/index.php?title=YouTube
https://robustlybeneficial.org/wiki/index.php?title=Bayesianism
https://robustlybeneficial.org/wiki/index.php?title=Solomonoff-Kolmogorov_complexity
https://robustlybeneficial.org/wiki/index.php?title=Adversarial_attacks
https://robustlybeneficial.org/wiki/index.php?title=Robust_statistics
Next week's paper is Recent Advances in Algorithmic High-Dimensional Robust Statistics by Ilias Diakonikolas and Daniel M. Kane (2019).
https://arxiv.org/pdf/1911.05911
...more
38min

FAQs about Robustly Beneficial Podcast:

How many episodes does Robustly Beneficial Podcast have?

The podcast currently has 24 episodes available.