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Dylan Slack
@
dylanslack20
Newport Beach, CA
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CS Ph.D. student at UC Irvine working on interpretability and fairness in machine learning.
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Tweetovi
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Pratim
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Osobe koje vas prate
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𝙷𝚒𝚖𝚊 𝙻𝚊𝚔𝚔𝚊𝚛𝚊𝚓𝚞
@hima_lakkaraju
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4 h |
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Attention folks at AIES -- we have two talks at the session on "Explanation" from 130pm to 245pm today!!
Paper 1: Fooling post hoc explanation methods (with @dylanslack20, Sophie, @emilycjia, @sameer_)
Paper 2: Manipulating user trust with misleading explanations (with Osbert).
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Dylan Slack
@dylanslack20
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4 h |
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Dylan Slack
@dylanslack20
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4 h |
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My awesome coauthor Sophie Hilgard (twiterless) talking about our paper on fooling post hoc explanation methods at SafeAI workshop @RealAAAI #AAAI2020 pic.twitter.com/wgKvMlmKq2
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Dylan Slack
@dylanslack20
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2. velj |
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So awesome Kate, well deserved!
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ACM FAccT (formerly ACM FAT*)
@FAccTConference
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31. sij |
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In case you're wondering "who is this [exciting, vibrant, fabulous] new conference handle in my timeline?", we're now @FAccTConference rather than @fatconference.
You don't need to do anything — except probably battle your Twitter caches and muscle memory.
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Christo Wilson
@bowlinearl
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30. sij |
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Website is live: facctconference.org twitter.com/FAccTConferenc…
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Kathy Baxter
@baxterkb
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30. sij |
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Huge congrats to @fatconference exec committee founding members: Sorelle Friedler, @s010n, @timnitGebru!! Much gratitude for all you've done for the community! #FAT2020 pic.twitter.com/1TrhwQVrIV
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sorelle
@kdphd
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30. sij |
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The recent work just mentioned #FAT2020 on how explanations can be gamed is by @dylanslack20 et al: arxiv.org/abs/1911.02508
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sorelle
@kdphd
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28. sij |
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Dylan @dylanslack20 starting his talk at #FAT2020 !
Paper: arxiv.org/abs/1908.09092 pic.twitter.com/BGwpIsgal7
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Dylan Slack
@dylanslack20
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28. sij |
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Huh didn't even think about this for industry applications. Thanks for pointing this out!
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Michael Ekstrand
@mdekstrand
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28. sij |
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This fairness portability problem @dylanslack20 @kdphd discuss is very real. One version of the Idaho pretrial risk assessment bill required validation, but did not specify that they should be validated *in Idaho*. #FAT2020
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Dylan Slack
@dylanslack20
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28. sij |
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Dylan Slack
@dylanslack20
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28. sij |
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This isn't a version of shap really but there's some representation learning approaches that help deal with this in audits explicitly: arxiv.org/abs/1906.08652
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Dylan Slack
@dylanslack20
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26. sij |
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We'll also be presenting a version of this paper at the SafeAI workshop at AAAI. If you're at any of these events and want to chat, please reach out!
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Dylan Slack
@dylanslack20
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26. sij |
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Next week, I'll be at AIES presenting a paper on post-hoc interpretation attack techniques "Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods" (arxiv.org/abs/1911.02508).
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Dylan Slack
@dylanslack20
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26. sij |
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Exciting next couple weeks presenting work! I'll be at FAT* this week to talk about our recent paper "Fairness Warnings & Fair-MAML: Learning Fairly from Minimal Data" (arxiv.org/abs/1908.09092)
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Jules Polonetsky
@JulesPolonetsky
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14. pro |
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The Ai Transparency Paradox hbr.org/2019/12/the-ai… well said @AndBurt
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Vincent Conitzer
@conitzer
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14. sij |
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The list of accepted papers for AIES is now also available! @AIESConf @RealAAAI #AAAI20
aies-conference.com/2020/accepted-…
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Lou Charkoudian
@CharkoudianLou
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14. sij |
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We (Haverford Chemistry) are looking for a Visiting Assistant Professor to join our team!
apply.interfolio.com/73104
This represents and exciting opportunity to grow as a teacher, mentor, and researcher alongside some pretty amazing students. Please spread the word! @Chemjobber
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Dylan Slack
@dylanslack20
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13. sij |
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Check out this course! Particularly nice curation of material, albeit in my somewhat biased opinion. twitter.com/ChenhaoTan/sta…
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