90 citations · 94 across the 4 of their papers we have counts for
11 papers
Don't "research fast and break things": On the ethics of Computational Social Science
David Leslie
This article is concerned with setting up practical guardrails within the research activities and environments of CSS. It aims to provide CSS scholars, as well as policymakers and…
Data Justice in Practice: A Guide for Developers
David Leslie, Michael Katell, Mhairi Aitken +7
The Advancing Data Justice Research and Practice project aims to broaden understanding of the social, historical, cultural, political, and economic forces that contribute to discri…
Data Justice Stories: A Repository of Case Studies
David Leslie, Morgan Briggs, Antonella Perini +7
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 t…
Advancing Data Justice Research and Practice: An Integrated Literature Review
David Leslie, Michael Katell, Mhairi Aitken +9
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 p…
Human rights, democracy, and the rule of law assurance framework for AI systems: A proposal
David Leslie, Christopher Burr, Mhairi Aitken +3
Following on from the publication of its Feasibility Study in December 2020, the Council of Europe's Ad Hoc Committee on Artificial Intelligence (CAHAI) and its subgroups initiated…
Ethical Assurance: A practical approach to the responsible design, development, and deployment of data-driven technologies
Christopher Burr, David Leslie
This article offers several contributions to the interdisciplinary project of responsible research and innovation in data science and AI. First, it provides a critical analysis of…
Explaining decisions made with AI: A workbook (Use case 1: AI-assisted recruitment tool)
David Leslie, Morgan Briggs
Over the last two years, The Alan Turing Institute and the Information Commissioner's Office (ICO) have been working together to discover ways to tackle the difficult issues surrou…
The Arc of the Data Scientific Universe
David Leslie
In this paper I explore the scaffolding of normative assumptions that supports Sabina Leonelli's implicit appeal to the values of epistemic integrity and the global public good tha…
Understanding bias in facial recognition technologies
David Leslie
Over the past couple of years, the growing debate around automated facial recognition has reached a boiling point. As developers have continued to swiftly expand the scope of these…
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction
David Leslie
Innovations in data science and AI/ML have a central role to play in supporting global efforts to combat COVID-19. The versatility of AI/ML technologies enables scientists and tech…
Understanding artificial intelligence ethics and safety
David Leslie
A remarkable time of human promise has been ushered in by the convergence of the ever-expanding availability of big data, the soaring speed and stretch of cloud computing platforms…