Zobrazeno 71 - 80
of 3 519
pro vyhledávání: '"Dickerson, John"'
Autor:
Nanda, Vedant, Speicher, Till, Dickerson, John P., Gummadi, Krishna P., Zafar, Muhammad Bilal
As deep neural networks (DNNs) get adopted in an ever-increasing number of applications, explainability has emerged as a crucial desideratum for these models. In many real-world tasks, one of the principal reasons for requiring explainability is to i
Externí odkaz:
http://arxiv.org/abs/2007.00251
Data poisoning and backdoor attacks manipulate training data in order to cause models to fail during inference. A recent survey of industry practitioners found that data poisoning is the number one concern among threats ranging from model stealing to
Externí odkaz:
http://arxiv.org/abs/2006.12557
In clustering problems, a central decision-maker is given a complete metric graph over vertices and must provide a clustering of vertices that minimizes some objective function. In fair clustering problems, vertices are endowed with a color (e.g., me
Externí odkaz:
http://arxiv.org/abs/2006.10916
Deep neural networks (DNNs) are increasingly used in real-world applications (e.g. facial recognition). This has resulted in concerns about the fairness of decisions made by these models. Various notions and measures of fairness have been proposed to
Externí odkaz:
http://arxiv.org/abs/2006.12621
Optimal auctions maximize a seller's expected revenue subject to individual rationality and strategyproofness for the buyers. Myerson's seminal work in 1981 settled the case of auctioning a single item; however, subsequent decades of work have yielde
Externí odkaz:
http://arxiv.org/abs/2006.08742
Autor:
Freedman, Rachel, Borg, Jana Schaich, Sinnott-Armstrong, Walter, Dickerson, John P., Conitzer, Vincent
Publikováno v:
Artificial Intelligence 283 (2020) 103261
The efficient and fair allocation of limited resources is a classical problem in economics and computer science. In kidney exchanges, a central market maker allocates living kidney donors to patients in need of an organ. Patients and donors in kidney
Externí odkaz:
http://arxiv.org/abs/2005.09755
We study the problem of eliciting the preferences of a decision-maker through a moderate number of pairwise comparison queries to make them a high quality recommendation for a specific problem. We are motivated by applications in high stakes domains,
Externí odkaz:
http://arxiv.org/abs/2003.01899
Collaborative work often benefits from having teams or organizations with heterogeneous members. In this paper, we present a method to form such diverse teams from people arriving sequentially over time. We define a monotone submodular objective func
Externí odkaz:
http://arxiv.org/abs/2002.10697
Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making
Autor:
Chan, Lok, Doyle, Kenzie, McElfresh, Duncan, Conitzer, Vincent, Dickerson, John P., Borg, Jana Schaich, Sinnott-Armstrong, Walter
Publikováno v:
Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (AIES '20)
Given AI's growing role in modeling and improving decision-making, how and when to present users with feedback is an urgent topic to address. We empirically examined the effect of feedback from false AI on moral decision-making about donor kidney all
Externí odkaz:
http://arxiv.org/abs/2001.09766
Autor:
McElfresh, Duncan C, Dooley, Samuel, Cui, Yuan, Griesman, Kendra, Wang, Weiqin, Will, Tyler, Sehgal, Neil, Dickerson, John P
Planning for death is not a process in which everyone participates. Yet a lack of planning can have vast impacts on a patient's well-being, the well-being of her family, and the medical community as a whole. Advance Care Planning (ACP) has been a fie
Externí odkaz:
http://arxiv.org/abs/2001.09742