Counterfactuals tell us what our model would've done under a different situation - helping us understand whether it is biased and how it came to a decision. Social: Twitter: https://twitter.com/mukulrathi_ My website (+ blog): https://mukulrathi.co.uk/ My email newsletter: https://newsletter.mukulrathi.co.uk/ -------------------------------------------------------------------------------------- Links: Ferenc Huszár's post: https://www.inference.vc/untitled/ and MLSS talk: https://www.youtube.com/watch?v=HOgx_SBBzn0 Counterfactual Fairness: https://arxiv.org/abs/1703.06856 Getting a CLUE: https://arxiv.org/abs/2006.06848 The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons: https://arxiv.org/abs/1912.04930 Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations: https://arxiv.org/pdf/1905.07697.pdf Model-Agnostic Counterfactual Explanations for Consequential Decisions: https://arxiv.org/pdf/1905.11190.pdf ------------------------------------------------------------------------------------ Timestamps: 00:00 Introduction 00:40 Overview 01:33 Causal Inference 02:22 Interventions 02:48 Structured Equation Model 03:09 Ferenc Huszár's explanation 04:30 Counterfactuals are specific to one person 05:05 Counterfactual Fairness 07:18 Counterfactual Explanations 08:15 Limitations of Counterfactuals 09:21 Addressing Limitations 10:49 Wrap-up - the best definition? ------------------------------------------------------------------------------------------- Music Credit: Dj Quads Track Name: "www is a thing" Music By: Dj Quads @ https://soundcloud.com/aka-dj-quads​ Original upload HERE - null • DJ QUads YouTube channel HERE: null • Dj Quads on SoundCloud HERE: https://soundcloud.com/aka-dj-quads​ • Dj Quads on Twitter HERE: https://twitter.com/DjQuads​ • Dj Quads on Spotify HERE: https://open.spotify.com/artist/2VZrd...​ • Dj Quads on Instagram HERE: https://www.instagram.com/djquads/