paper-with-me

Papers

Advancing Data Justice Research and Practice: An Integrated Literature Review

2022-04-06 · David Leslie, Michael Katell, Mhairi Aitken, Jatinder Singh, Morgan Briggs, Rosamund Powell, Cami Rincón, Thompson Chengeta, Abeba Birhane, Antonella Perini, Smera Jayadeva, Anjali Mazumder

The Advancing Data Justice Research and Practice (ADJRP) project aims to widen the lens of current thinking around data justice and to provide actionable resources that will help policymakers, practitioners, and impacted communities gain a broader understanding of what equitable, freedom-promoting, and rights-sustaining data collection, governance, and use should look like in increasingly dynamic and global data innovation ecosystems. In this integrated literature review we hope to lay the conceptual groundwork needed to support this aspiration. The introduction motivates the broadening of data justice that is undertaken by the literature review which follows. First, we address how certain limitations of the current study of data justice drive the need for a re-location of data justice research and practice. We map out the strengths and shortcomings of the contemporary state of the art and then elaborate on the challenges faced by our own effort to broaden the data justice perspective in the decolonial context. The body of the literature review covers seven thematic areas. For each theme, the ADJRP team has systematically collected and analysed key texts in order to tell the critical empirical story of how existing social structures and power dynamics present challenges to data justice and related justice fields. In each case, this critical empirical story is also supplemented by the transformational story of how activists, policymakers, and academics are challenging longstanding structures of inequity to advance social justice in data innovation ecosystems and adjacent areas of technological practice.

📄 PDF Abstract BibTeX arXiv:2204.03090

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Data Justice in Practice: A Guide for Developers

2022-04-12 · David Leslie, Michael Katell, Mhairi Aitken, Jatinder Singh 외

The Advancing Data Justice Research and Practice project aims to broaden understanding of the social, historical, cultural, political, and economic forces that contribute to discrimination and inequity in contemporary ec…

Fairness

Data Justice Stories: A Repository of Case Studies

2022-04-06 · David Leslie, Morgan Briggs, Antonella Perini, Smera Jayadeva 외

The idea of "data justice" is of recent academic vintage. It has arisen over the past decade in Anglo-European research institutions as an attempt to bring together a critique of the power dynamics that underlie accelera…

Fairness in Criminal Justice Risk Assessments: The State of the Art

2017-03-27 · Richard Berk, Hoda Heidari, Shahin Jabbari, Michael Kearns 외

Objectives: Discussions of fairness in criminal justice risk assessments typically lack conceptual precision. Rhetoric too often substitutes for careful analysis. In this paper, we seek to clarify the tradeoffs between d…

Fairness

An Impact Model of AI on the Principles of Justice: Encompassing the Autonomous Levels of AI Legal Reasoning

2020-08-26 · Dr. Lance Eliot

Efforts furthering the advancement of Artificial Intelligence (AI) will increasingly encompass AI Legal Reasoning (AILR) as a crucial element in the practice of law. It is argued in this research paper that the infusion …

Legal Reasoning

Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants

2025-08-10 · Zeyu Tang, Alex John London, Atoosa Kasirzadeh, Sarah Stewart de Ramirez 외 arxiv

Algorithmic fairness research has largely framed unfairness as discrimination along sensitive attributes. However, this approach limits visibility into unfairness as structural injustice instantiated through social deter…