8am | Registration Opens | |
8:15 - 9 | Light Breakfast | |
9 - 9:20 | Welcome and Awards | |
Solon Barocas (General Chair), Sorelle Friedler, and Christo Wilson (co-Program Committee Chairs) | ||
9:20 - 10:30 | Keynote 1 | |
Speaker: Latanya SweeneyProfessor of Government and Technology in Residence at Harvard University, and Director of the Data Privacy Lab in the Institute of Quantitative Social Science at Harvard Saving HumanityTechnology designers are the new policymakers and AI is the new policy. No one elected these designers, and most people do not know their names, but the decisions they make when producing the latest gadgets and online innovations dictate the code by which we conduct our daily lives and govern our country. We live in a new kind of technocracy driven by AI innovation. We are moving quickly, but where are we going? As AI progresses, every demographic value and every law and historical protection comes up for grabs and will likely be redefined by what technology does or does not enable. What are the unforeseen consequences? Is humanity itself at risk and if so, how do we control our destiny? Come and let’s explore the terrain in this talk. Discussant: Jason Schultz (NYU) | ||
10:30 - 11 | Coffee Break | |
11 - 12 | Session 1: Online Discrimination and Privacy | |
Session Chair: Joshua Kroll (University of California, Berkeley)
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12 - 1:30 | Catered Lunch | |
1:30 - 2:30 | Session 2: Interpretability and Explainability | |
Session Chair: Been Kim (Google Brain)
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2:30 - 3 | Coffee Break | |
3 - 4 | Tutorials 1 | |
Hands On - Vanderbilt Hall 204 Session Chair: Hal Daumé III (University of Maryland/Microsoft Research) Quantifying and Reducing Gender Stereotypes in Word Embeddings Kai-Wei Chang (UCLA), Tolga Bolukbasi, and Venkatesh Saligrama (Boston University) |
Translating to Computer Science - Vanderbilt Hall 210 Session Chair: David Robinson (Upturn) Understanding the Context and Consequences of Pre-trial Detention Elizabeth Bender (Decarceration Project at The Legal Aid Society of NYC), Kristian Lum (Human Rights Data Analysis Group), and Terrence Wilkerson (entrepreneur) |
Translating to Social Science - Vanderbilt Hall 220 Session Chair: Andrew Selbst (Data & Society Research Institute) 21 Fairness Definitions and Their Politics Arvind Narayanan (Princeton University) |
4 - 5 | Tutorials 2 | |
Hands On - Vanderbilt Hall 204 Session Chair: Jennifer Wortman Vaughan (Microsoft Research) Carlos Scheidegger (U. Arizona), Suresh Venkatasubramanian (U. Utah), and Charles Marx (Haverford College) |
Translating to Computer Science - Vanderbilt Hall 210 Session Chair: Seda Gürses (KU Leuven) People Analytics and Employment Selection: Opportunities and Concerns Kelly Trindel (Equal Employment Opportunity Commission / pymetrics) |
Translating to Social Science - Vanderbilt Hall 220 Session Chair: Karen Levy (Cornell University) A Shared Lexicon for Research and Practice in Human-Centered Software Systems Nitin Kohli, Renata Barreto, Joshua A. Kroll (University of California - Berkeley) |
More tutorials are available here. |
8am | Registration Opens |
8:15 - 9 | Light Breakfast |
9 - 9:20 | Welcome |
Solon Barocas (General Chair), Sorelle Friedler, and Christo Wilson (co-Program Committee Chairs) | |
9:20 - 10:30 | Keynote 2 |
Speaker: Deborah HellmanUniversity of Virginia School of Law, D. Lurton Massee Professor of Law, Roy L. and Rosamond Woodruff Morgan Professor of Law What is discrimination, when is it wrong and why?We distinguish among people all the time, on the basis of all sorts of traits and for a myriad of reasons. Sometimes doing so is clearly permissible. Sometimes doing so is clearly impermissible. And sometimes people disagree about whether particular policies or practices are permissible or not. What explains which are which? There are no simple answers. Rather, philosophers and legal scholars have different ideas about which instances are wrongful discrimination and why. In addition, they disagree about what evils discrimination law aims to eradicate. In this talk, I will survey the different answers that scholars give to these questions and the debates these various approaches give rise to. Discussant: Cynthia Dwork (Harvard) | |
10:30 - 11 | Coffee Break |
11 - 12 | Session 3: Fairness in Computer Vision and NLP |
Session Chair: Hanna Wallach (Microsoft Research)
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12 - 1:30 | Catered Lunch |
1:30 - 3 | Session 4: Fair Classification |
Session Chair: Kristian Lum (Human Rights Data Analysis Group)
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3 - 3:30 | Coffee Break |
3:30 - 4:50 | Session 5: FAT Recommenders, Etc. |
Session Chair: Fernando Diaz (Spotify)
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4:50 - 5 | Farewell |