Work

Potential for participatory big data ethics and algorithm design

Year: 2018

Type: conference-paper

Abstract: Ubiquitous networked data collection and algorithm-based information systems have the potential to disparately impact lives around the planet and pose a host of emerging ethical challenges. One response has been a call for more transparency and democratic control over the design and implementation of such systems. This scoping mapping review focuses on participatory approaches to the design, governance, and future of these systems across a wide variety of contexts and domains.

Source: Participatory Design Conference

DOI: 10.1145/3210604.3210644

Authors: Madisson Whitman, Chien-yi Hsiang, Kendall Roark

Institution: Purdue University West Lafayette

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

Funders: Andrew W. Mellon Foundation, Purdue University