2 citations · 4 across the 9 of their papers we have counts for
12 papers
Agentic Digital Twins: A Taxonomy of Capabilities for Understanding Possible Futures
Christopher Burr, Mark Enzer, Jason Shepherd +1
As digital twins (DTs) evolve to become more agentic through the integration of artificial intelligence (AI), they acquire capabilities that extend beyond dynamic representation of…
A framework for assuring the accuracy and fidelity of an AI-enabled Digital Twin of en route UK airspace
Adam Keane, Nick Pepper, Chris Burr +4
Digital Twins combine simulation, operational data and Artificial Intelligence (AI), and have the potential to bring significant benefits across the aviation industry. Project Blue…
Justified Evidence Collection for Argument-based AI Fairness Assurance
Alpay Sabuncuoglu, Christopher Burr, Carsten Maple
It is well recognised that ensuring fair AI systems is a complex sociotechnical challenge, which requires careful deliberation and continuous oversight across all stages of a syste…
Fair by design: A sociotechnical approach to justifying the fairness of AI-enabled systems across the lifecycle
Marten H. L. Kaas, Christopher Burr, Zoe Porter +6
Fairness is one of the most commonly identified ethical principles in existing AI guidelines, and the development of fair AI-enabled systems is required by new and emerging AI regu…
AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow
David Leslie, Cami Rincon, Morgan Briggs +10
The sustainability of AI systems depends on the capacity of project teams to proceed with a continuous sensitivity to their potential real-world impacts and transformative effects.…
AI Ethics and Governance in Practice: An Introduction
David Leslie, Cami Rincon, Morgan Briggs +8
AI systems may have transformative and long-term effects on individuals and society. To manage these impacts responsibly and direct the development of AI systems toward optimal pub…
AI Fairness in Practice
David Leslie, Cami Rincon, Morgan Briggs +10
Reaching consensus on a commonly accepted definition of AI Fairness has long been a central challenge in AI ethics and governance. There is a broad spectrum of views across society…
AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects
David Leslie, Cami Rincon, Morgan Briggs +10
Sustainable AI projects are continuously responsive to the transformative effects as well as short-, medium-, and long-term impacts on individuals and society that the design, deve…
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…
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…
Artificial intelligence, human rights, democracy, and the rule of law: a primer
David Leslie, Christopher Burr, Mhairi Aitken +3
In September 2019, the Council of Europe's Committee of Ministers adopted the terms of reference for the Ad Hoc Committee on Artificial Intelligence (CAHAI). The CAHAI is charged w…