Work

Algorithmic Transparency and Accountability through Crowdsourcing: A Study of the NYC School Admission Lottery

Year: 2023

Type: conference-paper

Abstract: Algorithms are used to aid decision-making for a wide range of public policy decisions. Yet, the details of the algorithmic processes and how to interact with their systems are often inadequately communicated to stakeholders, leaving them frustrated and distrusting of the outcomes of the decisions. Transparency and accountability are critical prerequisites for building trust in the results of decisions and guaranteeing fair and equitable outcomes. Unfortunately, organizations and agencies do not have strong incentives to explain and clarify their decision processes; however, stakeholders are not powerless and can strategically combine their efforts to push for more transparency.

Source: ACM Conference on Fairness, Accountability, and Transparency (FAccT)

DOI: 10.1145/3593013.3594009

Author: Amelie Marian

Institution: Rutgers, The State University of New Jersey

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Peace, justice, and strong institutions, Reduced inequalities

Open Access status: bronze

Funder: National Science Foundation