no code implementations • 5 Oct 2023 • Benjamin Laufer, Jon Kleinberg, Karen Levy, Helen Nissenbaum
Machine learning literature on strategic behavior has tried to describe these dynamics by emphasizing the efforts expended by decision subjects hoping to obtain a more favorable assessment -- some works offer ways to preempt or prevent such manipulations, some differentiate 'gaming' from 'improvement' behavior, while others aim to measure the effort burden or disparate effects of classification systems.
no code implementations • 8 Sep 2023 • Lydia T. Liu, Solon Barocas, Jon Kleinberg, Karen Levy
Through a simple model encompassing actions, latent states, and measurements, we demonstrate that pure outcome prediction rarely results in the most effective policy for taking actions, even when combined with other measurements.
no code implementations • 28 Jan 2023 • Hoda Heidari, Solon Barocas, Jon Kleinberg, Karen Levy
Prior work has provided strong evidence that, within organizational settings, teams that bring a diversity of information and perspectives to a task are more effective than teams that do not.
no code implementations • 29 Nov 2022 • Charlotte Schluger, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, Karen Levy
To address the widespread problem of uncivil behavior, many online discussion platforms employ human moderators to take action against objectionable content, such as removing it or placing sanctions on its authors.
no code implementations • 27 Oct 2022 • Michael L. Littman, Ifeoma Ajunwa, Guy Berger, Craig Boutilier, Morgan Currie, Finale Doshi-Velez, Gillian Hadfield, Michael C. Horowitz, Charles Isbell, Hiroaki Kitano, Karen Levy, Terah Lyons, Melanie Mitchell, Julie Shah, Steven Sloman, Shannon Vallor, Toby Walsh
In September 2021, the "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the second report of its planned long-term periodic assessment of artificial intelligence (AI) and its impact on society.
no code implementations • 8 Mar 2022 • Fernando Delgado, Solon Barocas, Karen Levy
Despite growing calls for participation in AI design, there are to date few empirical studies of what these processes look like and how they can be structured for meaningful engagement with domain experts.
no code implementations • 26 May 2021 • Margot Hanley, Solon Barocas, Karen Levy, Shiri Azenkot, Helen Nissenbaum
In this paper, we investigate the ethical dilemmas faced by companies that have adopted the use of computer vision for producing alt text: textual descriptions of images for blind and low vision people, We use Facebook's automatic alt text tool as our primary case study.
no code implementations • 10 Feb 2021 • Jess Hohenstein, Dominic DiFranzo, Rene F. Kizilcec, Zhila Aghajari, Hannah Mieczkowski, Karen Levy, Mor Naaman, Jeff Hancock, Malte Jung
Artificial intelligence (AI) is now widely used to facilitate social interaction, but its impact on social relationships and communication is not well understood.
no code implementations • 11 Jan 2021 • Kyla Chasalow, Karen Levy
Today, as the concept crops up in the study of fairness and accountability in machine learning, we need to carefully consider the term's meanings in order to communicate clearly and account for their normative implications.
Fairness Computers and Society
1 code implementation • 4 Jul 2020 • A. Feder Cooper, Karen Levy, Christopher De Sa
Trade-offs between accuracy and efficiency pervade law, public health, and other non-computing domains, which have developed policies to guide how to balance the two in conditions of uncertainty.
1 code implementation • 21 Jun 2019 • Manish Raghavan, Solon Barocas, Jon Kleinberg, Karen Levy
How are algorithmic assessments built, validated, and examined for bias?