Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Laufer, Benjamin"'
Publikováno v:
2023 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO '23)
A broad current application of algorithms is in formal and quantitative measures of murky concepts -- like merit -- to make decisions. When people strategically respond to these sorts of evaluations in order to gain favorable decision outcomes, their
Externí odkaz:
http://arxiv.org/abs/2310.03655
Major advances in Machine Learning (ML) and Artificial Intelligence (AI) increasingly take the form of developing and releasing general-purpose models. These models are designed to be adapted by other businesses and agencies to perform a particular,
Externí odkaz:
http://arxiv.org/abs/2308.04399
Optimization is offered as an objective approach to resolving complex, real-world decisions involving uncertainty and conflicting interests. It drives business strategies as well as public policies and, increasingly, lies at the heart of sophisticate
Externí odkaz:
http://arxiv.org/abs/2305.17465
Autor:
Laufer, Benjamin, Grupen, Niko A.
Crowdsourcing technologies rely on groups of people to input information that may be critical for decision-making. This work examines obfuscation in the context of reporting technologies. We show that widespread use of reporting platforms comes with
Externí odkaz:
http://arxiv.org/abs/2208.06405
Fairness, Accountability, and Transparency (FAccT) for socio-technical systems has been a thriving area of research in recent years. An ACM conference bearing the same name has been the central venue for scholars in this area to come together, provid
Externí odkaz:
http://arxiv.org/abs/2206.06738
Publikováno v:
2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22)
In 1996, Accountability in a Computerized Society [95] issued a clarion call concerning the erosion of accountability in society due to the ubiquitous delegation of consequential functions to computerized systems. Nissenbaum [95] described four barri
Externí odkaz:
http://arxiv.org/abs/2202.05338
Autor:
Laufer, Benjamin
In the criminal legal context, risk assessment algorithms are touted as data-driven, well-tested tools. Studies known as validation tests are typically cited by practitioners to show that a particular risk assessment algorithm has predictive accuracy
Externí odkaz:
http://arxiv.org/abs/2011.14075
Autor:
Laufer, Benjamin
Risk assessment algorithms in criminal justice put people's lives at the discretion of a simple statistical tool. This thesis explores how algorithmic decision-making in criminal policy can exhibit feedback effects, where disadvantage accumulates amo
Externí odkaz:
http://arxiv.org/abs/2005.13404
Autor:
Dominguez, Sara L., Laufer, Benjamin I., Ghosh, Arundhati Sengupta, Li, Qingling, Ruggeri, Gaia, Emani, Maheswara Reddy, Phu, Lilian, Friedman, Brad A., Sandoval, Wendy, Rose, Christopher M., Ngu, Hai, Foreman, Oded, Reichelt, Mike, Juste, Yves, Lalehzadeh, Guita, Hansen, Dennis, Nymark, Helle, Mellal, Denia, Gylling, Helene, Kiełpiński, Łukasz J., Chih, Ben, Bingol, Baris, Hoogenraad, Casper C., Meilandt, William J., Easton, Amy
Publikováno v:
In iScience 17 November 2023 26(11)
Autor:
Byrnes, Amy E., Dominguez, Sara L., Yen, Chun-Wan, Laufer, Benjamin I., Foreman, Oded, Reichelt, Mike, Lin, Han, Sagolla, Meredith, Hötzel, Kathy, Ngu, Hai, Soendergaard, Christoffer, Estevez, Alberto, Lin, Hsiu-Chao, Goyon, Alexandre, Bian, Juan, Lin, Jessica, Hinz, Flora I., Friedman, Brad A., Easton, Amy, Hoogenraad, Casper C.
Publikováno v:
In Molecular Therapy - Nucleic Acids 13 June 2023 32:773-793