Christopher E Thomas
Biographic Data
| ID | 4016985 |
|---|---|
| NAME | Christopher E Thomas |
| GIVEN NAMES | Christopher E |
| FAMILY NAME | Thomas |
| SIGNATURE | THOMAS C E |
| AFFILIATIONS | University of Oxford |
| ORCID | 0000-0001-8817-4977 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1949 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Ethical governance of artificial intelligence for defence: Normative tradeoffs for principle to practice guidance
The rapid diffusion of artificial intelligence (AI) technologies in the defence domain raises challenges for the ethical governance of these systems. A recent shift from the what to the how of AI ethics sees a nascent body of literature published by defence organisations focussed on guidance to implement AI ethics principles. These efforts have neglected a crucial intermediate step between principles and guidance concerning the elicitation of eth…
The case for a broader approach to AI assurance: Addressing “hidden” harms in the development of artificial intelligence
Artificial intelligence (AI) assurance is an umbrella term describing many approaches—such as impact assessment, audit, and certification procedures—used to provide evidence that an AI system is legal, ethical, and technically robust. AI assurance approaches largely focus on two overlapping categories of harms: deployment harms that emerge at, or after, the point of use, and individual harms that directly impact a person as an individual. Current…
From AI Ethics Principles to Practices: A Teleological Methodology to Apply AI Ethics Principles in The Defence Domain
This article provides a methodology for the interpretation of AI ethics principles to specify ethical criteria for the development and deployment of AI systems in high-risk domains. The methodology consists of a three-step process deployed by an independent, multi-stakeholder ethics board to: (1) identify the appropriate level of abstraction for modelling the AI lifecycle; (2) interpret prescribed principles to extract specific requirements to be…
Artificial intelligence regulation in the United Kingdom: A path to good governance and global leadership
the United Kingdom (UK) government published its AI Regulation White Paper, a "proportionate and pro-innovation regulatory framework" for AI designed to support innovation, identify and address risks, and establish the UK as an "AI superpower".In this article, we assess whether the approach outlined in this policy document is appropriate for meeting the country's stated ambitions.We argue that the proposed continuation of a sector-led approach, w…
American Sea Songs and Chanteys from the Days of Iron Men and Wooden Ships
American Sea Songs and Chanteys from the Days of Iron Men and Wooden Ships
Artificial intelligence regulation in the United Kingdom: A path to good governance and global leadership
the United Kingdom (UK) government published its AI Regulation White Paper, a "proportionate and pro-innovation regulatory framework" for AI designed to support innovation, identify and address risks, and establish the UK as an "AI superpower".In this article, we assess whether the approach outlined in this policy document is appropriate for meeting the country's stated ambitions.We argue that the proposed continuation of a sector-led approach, w…
From AI Ethics Principles to Practices: A Teleological Methodology to Apply AI Ethics Principles in The Defence Domain
This article provides a methodology for the interpretation of AI ethics principles to specify ethical criteria for the development and deployment of AI systems in high-risk domains. The methodology consists of a three-step process deployed by an independent, multi-stakeholder ethics board to: (1) identify the appropriate level of abstraction for modelling the AI lifecycle; (2) interpret prescribed principles to extract specific requirements to be…
Ethical governance of artificial intelligence for defence: Normative tradeoffs for principle to practice guidance
The rapid diffusion of artificial intelligence (AI) technologies in the defence domain raises challenges for the ethical governance of these systems. A recent shift from the what to the how of AI ethics sees a nascent body of literature published by defence organisations focussed on guidance to implement AI ethics principles. These efforts have neglected a crucial intermediate step between principles and guidance concerning the elicitation of eth…
The case for a broader approach to AI assurance: Addressing “hidden” harms in the development of artificial intelligence
Artificial intelligence (AI) assurance is an umbrella term describing many approaches—such as impact assessment, audit, and certification procedures—used to provide evidence that an AI system is legal, ethical, and technically robust. AI assurance approaches largely focus on two overlapping categories of harms: deployment harms that emerge at, or after, the point of use, and individual harms that directly impact a person as an individual. Current…
Ethics and Social Impacts of AI (4 works) · Computer Science (3 works) · Corporate governance (2 works) · Economics (2 works) · Engineering (2 works) · Engineering ethics (2 works) · Geology (2 works) · Law, AI, and Intellectual Property (2 works) · Management (2 works) · Neuroethics, Human Enhancement, Biomedical Innovations (2 works)