Carolyn Ten Holter
Biographic Data
| ID | 6961223 |
|---|---|
| NAME | Carolyn Ten Holter |
| GIVEN NAMES | Carolyn Ten |
| FAMILY NAME | Holter |
| SIGNATURE | TEN HOLTER C |
| AFFILIATIONS | University of Oxford |
| ORCID | 0000-0001-8739-3211 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Ethics Review of AI research
The recent advancements in artificial intelligence (AI), and data science more broadly, have led to a proliferation of new methods and tools, such as machine learning (ML), that are used in all kinds of scientific research, from biomedical research through to environmental and education research. Research ethics review bodies are increasingly required to review AI research protocols that cover these different fields of enquiry. Questions have bee…
The roles of responsible innovation researchers in research projects
The way in which responsible innovation (RI) is interpreted and implemented depends to a significant degree on how the researchers, scholars and practitioners who work on RI see their own work. Building on a long tradition of research on roles in research, there have been several contributions to the RI discourse suggesting distinctive roles that RI researchers may adopt. An understanding of these roles may help contextualise RI activities, inclu…
Voice from the Beehive
Societal trust in research and innovation is predicated on factors such as governance, safety, and responsible development. These are often thought of as regulatory matters, but regulation is not well-adapted to fast-moving technologies, nor to operate at the granular level of projects or small companies. Anticipatory governance, potentially in the form of responsible innovation (RI), can help to provide this adaptivity and granularity. However, …
Human involvement in autonomous decision-making systems. Lessons learned from three case studies in aviation, social care and road vehicles
This paper draws on three case studies to examine some of the challenges and tensions involved in the use of Autonomous Decision-Making Systems (ADMS). In particular, the paper highlights: (i) challenges around the shifting “locale” of the decision, and the associated consequences for stakeholders; (ii) potential implications for stakeholders from regulation such as the General Data Protection Regulation (GDPR); (iii) the different values that st…
Participatory design
This review compares and discusses the literature and practice of participatory design (PD) and responsible research and innovation (RRI) to discover commonalities and contrast their approaches to similar challenges found in such ‘participatory’ methods. It seeks to gain insights from the older practice of PD and attempts to discover whether there are lessons that RRI could usefully draw on to address its own challenges. The paper suggests that P…
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Participatory design
This review compares and discusses the literature and practice of participatory design (PD) and responsible research and innovation (RRI) to discover commonalities and contrast their approaches to similar challenges found in such ‘participatory’ methods. It seeks to gain insights from the older practice of PD and attempts to discover whether there are lessons that RRI could usefully draw on to address its own challenges. The paper suggests that P…
Human involvement in autonomous decision-making systems. Lessons learned from three case studies in aviation, social care and road vehicles
This paper draws on three case studies to examine some of the challenges and tensions involved in the use of Autonomous Decision-Making Systems (ADMS). In particular, the paper highlights: (i) challenges around the shifting “locale” of the decision, and the associated consequences for stakeholders; (ii) potential implications for stakeholders from regulation such as the General Data Protection Regulation (GDPR); (iii) the different values that st…
Voice from the Beehive
Societal trust in research and innovation is predicated on factors such as governance, safety, and responsible development. These are often thought of as regulatory matters, but regulation is not well-adapted to fast-moving technologies, nor to operate at the granular level of projects or small companies. Anticipatory governance, potentially in the form of responsible innovation (RI), can help to provide this adaptivity and granularity. However, …
The roles of responsible innovation researchers in research projects
The way in which responsible innovation (RI) is interpreted and implemented depends to a significant degree on how the researchers, scholars and practitioners who work on RI see their own work. Building on a long tradition of research on roles in research, there have been several contributions to the RI discourse suggesting distinctive roles that RI researchers may adopt. An understanding of these roles may help contextualise RI activities, inclu…
Ethics Review of AI research
The recent advancements in artificial intelligence (AI), and data science more broadly, have led to a proliferation of new methods and tools, such as machine learning (ML), that are used in all kinds of scientific research, from biomedical research through to environmental and education research. Research ethics review bodies are increasingly required to review AI research protocols that cover these different fields of enquiry. Questions have bee…
Engineering (4 works) · Business (3 works) · Computer Science (3 works) · Engineering ethics (3 works) · Innovative Approaches in Technology and Social Development (3 works) · Political science (3 works) · Responsible Research and Innovation (3 works) · Knowledge management (2 works) · Public relations (2 works) · Artificial Intelligence in Healthcare and Education (1 works)