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20212026
most citedJustified Evidence Collection for Argument-based AI Fairness Assurance

2 citations · 4 across the 9 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CY2024

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…

cs.CY2024

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.…

cs.CY2024★ 1 cited

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…

cs.CY2024★ 1 cited

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…

cs.CY2024

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…