Manish Raghavan @manish_raghavan
Asst prof @MITSloan and @MITEECS Formerly @HRCRCS @CornellCIS. Ethics, discrimination, and bias in AI/ML mraghavan.github.io Joined April 2019-
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Manish Raghavan retweeted
I'll be at the ICLR DMLR and PMLDS workshops presenting ongoing work with @dmshanmugam (+ a wonderful team including @manish_raghavan, @mit_caml, @lab_berger, @2plus2make5)! Details in thread below 🧵 [1/4]
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Manish Raghavan retweeted
Many papers study the accuracy-diversity trade-off in recommendations. In new work, we show that this "trade-off" is an artifact of mismeasuring accuracy and ignoring the *consumption constraints* of users. w/ @2plus2make5, @manish_raghavan, Jon Kleinberg, and @NikhGarg Thread⬇️
Manish Raghavan retweeted
I’m excited to share our work on Auditing for Human Expertise! We develop a statistical test to assess whether human forecasters exercise expert judgment or otherwise incorporate information which is not available to *any* predictive algorithm (1/n) arxiv.org/abs/2306.01646
Manish Raghavan retweeted
a pleasant surprise this morning: we won the best paper award at this year's @TheWebConf
a pleasant surprise this morning: we won the best paper award at this year's @TheWebConf https://t.co/3QDLqf1PSO
Manish Raghavan retweeted
chris will be presenting this at the web conference next week, so here's the promised slightly longer thread on this paper 1/n
chris will be presenting this at the web conference next week, so here's the promised slightly longer thread on this paper 1/n
Manish Raghavan retweeted
Interested in some combination of formal privacy, generative models, fairness & causal inference? We're looking for researcher to join a team at @mit_ide collaborating with @MITIBMLab in this area.
Interested in some combination of formal privacy, generative models, fairness & causal inference? We're looking for researcher to join a team at @mit_ide collaborating with @MITIBMLab in this area.
Manish Raghavan retweeted
Are you doing a ecoomics-related PhD? Interested in AI/ML? Then apply to our Summer Institute in Machine Learning! Learn from awesome faculty Meet other like-minded students Get exposed to cool, new ideas bit.ly/3ZRvTxr (march 24 deadline)
Manish Raghavan retweeted
Is AI the new HR? Our panel with @manish_raghavan @AlexReeveGivens @HilkeSchellmann starts in an hour at #sxsw. Are we going to let AI become a high tech pathway to discrimination? #ai schedule.sxsw.com/2023/events/PP…
Manish Raghavan retweeted
The application deadline for MLESI is in one week (Mar 17)! Apply now! We have an exciting lineup of participating faculty including (on twitter) @Susan_Athey, @peterbergman_, @instrumenthull, @sanjog_misra, @2plus2make5, @manish_raghavan, @ChenhaoTan and many others!
The application deadline for MLESI is in one week (Mar 17)! Apply now! We have an exciting lineup of participating faculty including (on twitter) @Susan_Athey, @peterbergman_, @instrumenthull, @sanjog_misra, @2plus2make5, @manish_raghavan, @ChenhaoTan and many others!
Manish Raghavan retweeted
Applications for the Machine Learning in Economics Summer Institute (MLESI) 2023 are open! Great opp. for grad students to learn about cutting-edge research, generate new ideas, and build community at intersection of econ, ML and CS. chicagobooth.edu/research/cente…
Manish Raghavan retweeted
This week at the SIGecom seminar series we have @harshaw_tweets: "Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model" & @manish_raghavan: "The Challenge of Understanding What Users Want" Check out sigecom.org/seminar for the link to join!
Manish Raghavan retweeted
Got the chance to talk at the Simons Institute's AI & Humanity Workshop last week! Presented two ongoing works with @andrew_ilyas @aleks_madry @manish_raghavan on building trust in AI & the governance of data-driven algorithms. Check out the video here youtube.com/watch?v=OpFY9D…
Manish Raghavan retweeted
My secret wish for our new paper (w/ Jon Kleinberg & @manish_raghavan): that we had titled it “My relationship with Doritos (Bonus: may explain your love/hate of social media)” 🧵to explain what connects Doritos, machine learning, and user data. bit.ly/39ZEZn3 1/N
Manish Raghavan retweeted
In our latest ML podcast, @melissakoide talks to @manish_raghavan of @HCRCS, @Debbie_Hellman of @UVALaw, and Stephen Hayes of @relmanlaw about how to measure the fairness of AI/ML models & the implications for effective fair lending oversight. #FRLPods finreglab.org/podcasts
Manish Raghavan retweeted
I love this thoughtful piece by @dgrobinson on how algorithms tell stories about who we are, and how we might use them as lenses into others’ humanity. oreilly.com/radar/reclaimi…
⭐️⭐️⭐️
Manish Raghavan retweeted
I am *really* excited about our new paper, Roles for Computing in Social Change, on its way to @fatconference: arxiv.org/abs/1912.04883 This paper comes from *years* of thinking and talking among ourselves (me + @red_abebe @s010n @manish_raghavan @dgrobinson Jon Kleinberg) ...
Manish Raghavan retweeted
💭❓[Thread:] How can the field of computing contribute to social change, without tacitly assuming that tomorrow's social structures will basically resemble the past? ⚡️ arxiv.org/abs/1912.04883
Manish Raghavan retweeted
Do algorithmic hiring systems reduce bias? @manish_raghavan & @s010n explore the issue in a new entry to Brookings's "AI and Bias" series. brook.gs/33XK9a4
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