90 citations · 94 across the 4 of their papers we have counts for
6 papers
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…