All Outputs (54)

Navigating the Utopia and Dystopia Perspectives of Artificial Intelligence (2024)
Journal Article
Carroll, N., Holmström, J., Stahl, B. C., & Fabian, N. E. (in press). Navigating the Utopia and Dystopia Perspectives of Artificial Intelligence. Communications of the Association for Information Systems, 55(1), Article 33. https://doi.org/10.17705/1cais.05533

This article examines the complex implications of artificial intelligence (AI) in societal and commercial contexts and challenges both utopian and dystopian perspectives. It highlights two key areas: AI’s impact on the meaning of labor and on human-m... Read More about Navigating the Utopia and Dystopia Perspectives of Artificial Intelligence.

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

A Taxonomy of Domestic Robot Failure Outcomes: Understanding the impact of failure on trustworthiness of domestic robots (2024)
Presentation / Conference Contribution
Cameron, H. R., Castle-Green, S., Chughtai, M., Dowthwaite, L., Kucukyilmaz, A., A. Maior, H. A., Ngo, V., Schneiders, E., & C. Stahl, B. (2024, September). A Taxonomy of Domestic Robot Failure Outcomes: Understanding the impact of failure on trustworthiness of domestic robots. Presented at Trustworthy Autonomous Systems International Symposium '24, Austin, Texas, USA

Domestic robots are fast becoming an integrated part of daily life. In anticipation of increased uptake of robotic assistants in the home, researchers and designers must investigate what makes domestic robotic interventions trustworthy or untrustwort... Read More about A Taxonomy of Domestic Robot Failure Outcomes: Understanding the impact of failure on trustworthiness of domestic robots.

Measurable Trust: The Key to Unlocking User Confidence in Black-Box AI (2024)
Presentation / Conference Contribution
Palazzolo, P., Stahl, B., & Webb, H. (2024, September). Measurable Trust: The Key to Unlocking User Confidence in Black-Box AI. Presented at Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

Given the pervasive integration of artificial intelligence (AI) into our daily lives, establishing public trust is paramount for maximizing AI's benefits and ensuring its responsible use. This research proposes an investigation into the feasibility o... Read More about Measurable Trust: The Key to Unlocking User Confidence in Black-Box AI.

Trustworthy Airspaces of the Future: Hopes and concerns of experts regarding Uncrewed Traffic Management systems (2024)
Presentation / Conference Contribution
R. Cameron, H., McBride, N., Ochang, P., & C. Stahl, B. (2024, September). Trustworthy Airspaces of the Future: Hopes and concerns of experts regarding Uncrewed Traffic Management systems. Presented at Trustworthy Autonomous Systems International Symposium '24, Austin, Texas, USA

Uncrewed aerial systems (UAS) such as drones are an increasingly mundane part of our skies, and are expected as an industry to undergo exponential growth in the coming decade. In order to monitor and manage the airspace, Uncrewed Traffic Management (... Read More about Trustworthy Airspaces of the Future: Hopes and concerns of experts regarding Uncrewed Traffic Management systems.

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.

Responsible Generative AI for SMEs in the UK and Africa: RAISE guidelines (2024)
Report
Ochang, P., Stahl, B., Eke, D., Buckley, M., Poder, I., Hughes, J., Rodrigues, R., & Barnard-Wills, D. (2024). Responsible Generative AI for SMEs in the UK and Africa: RAISE guidelines. Responsible AI UK

Small to Medium Enterprises (SMEs), including technology start-ups, are driving the development of Generative Artificial Intelligence products and services, whilst some non-technology SMEs are enthusiastically adopting these tools. However, SMEs do n... Read More about Responsible Generative AI for SMEs in the UK and Africa: RAISE guidelines.

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.