Skip to main content

Research Repository

Advanced Search

All Outputs (51)

Small and medium enterprises will use generative AI. But how can they be helped to implement it properly? (2024)
Report
Ochang, P., Eke, D., Stahl, B., Buckley, . M., Poder, I., & Hughes, J. (2024). Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?. ESPRC and RAI UK

Generative AI is changing the way our economies and businesses operate, and SMEs could be receiving more benefits from this transition. Over the past 12 months in the Responsible Generative AI for SMEs in UK and Africa (RAISE) project we have been wo... Read More about Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?.

Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report (2024)
Report
Ochang, P., Stahl, B., Eke, D., & Cameron, H. Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report. ESPRC and RAI UK

On the 1st of July 2024, the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project hosted its inaugural workshop, bringing together small and medium-sized enterprises (SMEs) from the United Kingdom and Africa. The workshop focused o... Read More about Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report.

Towards trustworthy medical AI ecosystems – a proposal for supporting responsible innovation practices in AI-based medical innovation (2024)
Journal Article
Herzog, C., Blank, S., & Stahl, B. C. (2024). Towards trustworthy medical AI ecosystems – a proposal for supporting responsible innovation practices in AI-based medical innovation. AI & Society, https://doi.org/10.1007/s00146-024-02082-z

In this article, we explore questions about the culture of trustworthy artificial intelligence (AI) through the lens of ecosystems. We draw on the European Commission’s Guidelines for Trustworthy AI and its philosophical underpinnings. Based on the l... Read More about Towards trustworthy medical AI ecosystems – a proposal for supporting responsible innovation practices in AI-based medical innovation.

Rethinking ethics in interdisciplinary and big data-driven neuroscience projects (2024)
Journal Article
Stahl, B. C., Ogoh, G., Schumann, G., Walter, H., On behalf of the environMENTAL consortium, Walter, H., Heinz, A., Ralser, M., Twardziok, S., Vaidya, N., Bernas, A., Serin, E., Jentsch, M., Hitchen, E., Polemiti, E., Kebir, H., Lett, T. A., Roy, J.-C., Eils, R., Taron, U.-H., …Ogoh, G. (2024). Rethinking ethics in interdisciplinary and big data-driven neuroscience projects. nature mental health, 2, 1128–1130. https://doi.org/10.1038/s44220-024-00320-3

The Earth, Brain, Health Commission: how to preserve mental health in a changing environment (2024)
Journal Article
Schumann, G., Barciela, R., Benegal, V., Bernard, A., Desrivieres, S., Feng, J., Gong, P., Heinz, A., Hunt, X., Jin, L., Luterbacher, J., Marquand, A., Meyer-Lindenberg, A., Salomon, J., Schwalber, A., Shetty, S., Stahl, B., & Thompson, P. (2024). The Earth, Brain, Health Commission: how to preserve mental health in a changing environment. nature mental health, 2, 1121–1123. https://doi.org/10.1038/s44220-024-00314-1

Implementing responsible innovation: the role of the meso-level(s) between project and organisation (2024)
Journal Article
Stahl, B. C., Portillo, V., Wagner, H., Craigon, P. J., Darzentas, D., De Ossorno Garcia, S., Dowthwaite, L., Greenhalgh, C., Middleton, S. E., Nichele, E., Wagner, C., & Webb, H. (2024). Implementing responsible innovation: the role of the meso-level(s) between project and organisation. Journal of Responsible Innovation, 11(1), Article 2370934. https://doi.org/10.1080/23299460.2024.2370934

Much of academic discussion of responsible innovation (RI) has focused on RI integration into research projects. In addition, significant attention has also been paid to RI structures and policies at the research policy and institutional level. This... Read More about Implementing responsible innovation: the role of the meso-level(s) between project and organisation.

From Corporate Digital Responsibility to Responsible Digital Ecosystems (2024)
Journal Article
Stahl, B. C. (2024). From Corporate Digital Responsibility to Responsible Digital Ecosystems. Sustainability, 16(12), Article 4972. https://doi.org/10.3390/su16124972

The significant and rapidly growing impact that digital technologies has on all aspects of our lives has raised awareness of benefits but also concerns and worries linked to the development and use of these technologies. The concept of responsibility... Read More about From Corporate Digital Responsibility to Responsible Digital Ecosystems.

Perceptions on the Ethical and Legal Principles that Influence Global Brain Data Governance (2024)
Journal Article
Ochang, P., Eke, D., & Stahl, B. C. (2024). Perceptions on the Ethical and Legal Principles that Influence Global Brain Data Governance. Neuroethics, 17(2), Article 23. https://doi.org/10.1007/s12152-024-09558-1

Advances in neuroscience and other disciplines are producing large-scale brain data consisting of datasets from multiple organisms, disciplines, and jurisdictions in different formats. However, due to the lack of an international data governance fram... Read More about Perceptions on the Ethical and Legal Principles that Influence Global Brain Data Governance.

A method for the ethical analysis of brain-inspired AI (2024)
Journal Article
Farisco, M., Baldassarre, G., Cartoni, E., Leach, A., Petrovici, M. A., Rosemann, A., Salles, A., Stahl, B., & van Albada, S. J. (2024). A method for the ethical analysis of brain-inspired AI. Artificial Intelligence Review, 57(6), Article 133. https://doi.org/10.1007/s10462-024-10769-4

Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application domains and goals. These limitations are arguably both conceptual (e.g., related to the underlying th... Read More about A method for the ethical analysis of brain-inspired AI.

Ethics in the Governance of Data and Digital Technology: An Analysis of European Data Regulations and Policies (2024)
Journal Article
Eke, D., & Stahl, B. (2024). Ethics in the Governance of Data and Digital Technology: An Analysis of European Data Regulations and Policies. Digital Society, 3(1), Article 11. https://doi.org/10.1007/s44206-024-00101-6

Addressing ethical concerns is among the fundamental motivations for the development of policies and regulations for data and digital technologies. In the last few years, the European Commission has issued a number of policies, regulations and legisl... Read More about Ethics in the Governance of Data and Digital Technology: An Analysis of European Data Regulations and Policies.

Critical responsible innovation – the role(s) of the researcher (2024)
Journal Article
Stahl, B. C. (2024). Critical responsible innovation – the role(s) of the researcher. Journal of Responsible Innovation, 11(1), Article 2300162. https://doi.org/10.1080/23299460.2023.2300162

Critical theory (CT) is a widely used theoretical approach that can be used to describe, understand and justify interventions into scientific and technical research and innovation. It can thus be considered a potential theoretical underpinning of res... Read More about Critical responsible innovation – the role(s) of the researcher.

Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges (2023)
Book
Stahl, B. C., Schroeder, D., & Rodrigues, R. (2023). Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges. Springer. https://doi.org/10.1007/978-3-031-17040-9

This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemm... Read More about Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges.

Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse (2023)
Journal Article
Ochang, P., Eke, D., & Stahl, B. C. (2023). Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse. Frontiers in Big Data, 6, Article 1240660. https://doi.org/10.3389/fdata.2023.1240660

Introduction: The study of the brain continues to generate substantial volumes of data, commonly referred to as “big brain data,” which serves various purposes such as the treatment of brain-related diseases, the development of neurotechnological dev... Read More about Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse.

The ethics of ChatGPT – Exploring the ethical issues of an emerging technology (2023)
Journal Article
Stahl, B. C., & Eke, D. (2024). The ethics of ChatGPT – Exploring the ethical issues of an emerging technology. International Journal of Information Management, 74, Article 102700. https://doi.org/10.1016/j.ijinfomgt.2023.102700

This article explores ethical issues raised by generative conversational AI systems like ChatGPT. It applies established approaches for analysing ethics of emerging technologies to undertake a systematic review of possible benefits and concerns. The... Read More about The ethics of ChatGPT – Exploring the ethical issues of an emerging technology.

Time to consider animal data governance: perspectives from neuroscience (2023)
Journal Article
Eke, D., Ogoh, G., Knight, W., & Stahl, B. (2023). Time to consider animal data governance: perspectives from neuroscience. Frontiers in Neuroinformatics, 17, Article 1233121. https://doi.org/10.3389/fninf.2023.1233121

Introduction: Scientific research relies mainly on multimodal, multidimensional big data generated from both animal and human organisms as well as technical data. However, unlike human data that is increasingly regulated at national, regional and int... Read More about Time to consider animal data governance: perspectives from neuroscience.

Effects of urban living environments on mental health in adults (2023)
Journal Article
Xu, J., Liu, N., Polemiti, E., Garcia-Mondragon, L., Tang, J., Liu, X., Lett, T., Yu, L., Nöthen, M. M., Feng, J., Yu, C., Marquand, A., Schumann, G., Walter, H., Heinz, A., Ralser, M., Twardziok, S., Vaidya, N., Serin, E., Jentsch, M., …Ogoh, G. (2023). Effects of urban living environments on mental health in adults. Nature Medicine, 29(6), 1456-1467. https://doi.org/10.1038/s41591-023-02365-w

Urban-living individuals are exposed to many environmental factors that may combine and interact to influence mental health. While individual factors of an urban environment have been investigated in isolation, no attempt has been made to model how c... Read More about Effects of urban living environments on mental health in adults.

Assessing responsible innovation training (2023)
Journal Article
Stahl, B. C., Aicardi, C., Brooks, L., Craigon, P. J., Cunden, M., Burton, S. D., …Webb, H. (2023). Assessing responsible innovation training. Journal of Responsible Technology, 16, Article 100063. https://doi.org/10.1016/j.jrt.2023.100063

There is broad agreement that one important aspect of responsible innovation (RI) is to provide training on its principles and practices to current and future researchers and innovators, notably including doctoral students. Much less agreement can be... Read More about Assessing responsible innovation training.

Embedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems (2023)
Journal Article
Stahl, B. C. (2023). Embedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems. Scientific Reports, 13, Article 7586. https://doi.org/10.1038/s41598-023-34622-w

Intelligent systems that are capable of making autonomous decisions based on input from their environment have great potential to do good, but they also raise significant social and ethical concerns. The discourse on ethics and artificial intelligenc... Read More about Embedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems.

A systematic review of artificial intelligence impact assessments (2023)
Journal Article
Stahl, B. C., Antoniou, J., Bhalla, N., Brooks, L., Jansen, P., Lindqvist, B., …Wright, D. (2023). A systematic review of artificial intelligence impact assessments. Artificial Intelligence Review, 56(11), 12799 -12831. https://doi.org/10.1007/s10462-023-10420-8

Artificial intelligence (AI) is producing highly beneficial impacts in many domains, from transport to healthcare, from energy distribution to marketing, but it also raises concerns about undesirable ethical and social consequences. AI impact assessm... Read More about A systematic review of artificial intelligence impact assessments.

Exploring ethics and human rights in artificial intelligence – A Delphi study (2023)
Journal Article
Stahl, B. C., Brooks, L., Hatzakis, T., Santiago, N., & Wright, D. (2023). Exploring ethics and human rights in artificial intelligence – A Delphi study. Technological Forecasting and Social Change, 191, Article 122502. https://doi.org/10.1016/j.techfore.2023.122502

Ethical and human rights issues of artificial intelligence (AI) are a prominent topic of research and innovation policy as well as societal and scientific debate. It is broadly recognised that AI-related technologies have properties that can give ris... Read More about Exploring ethics and human rights in artificial intelligence – A Delphi study.