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Professor Bernd Stahl

Job: Director of the Centre for Computing and Social Responsibility

Faculty: Technology

School/department: School of Computer Science and Informatics

Research group(s): Centre for Computing and Social Responsibility (CCSR)

Address: De Montfort University, The Gateway, Leicester, LE1 9BH, United Kingdom

T: +44 (0)116 207 8252

E: bstahl@dmu.ac.uk

W: https://orcid.org/0000-0002-4058-4456

 

Personal profile

Bernd Carsten Stahl is Professor of Critical Research in Technology and Director the Centre for Computing and Social Responsibility at De Montfort University, Leicester, UK. His interests cover philosophical issues arising from the intersections of business, technology, and information. This includes the ethics of ICT and critical approaches to information systems. 

Publications and outputs 

  • Good governance as a response to discontents? Déjà vu, or lessons for AI from other emerging technologies
    Good governance as a response to discontents? Déjà vu, or lessons for AI from other emerging technologies Ulnicane, Inga; Eke Okaibedi, Damian; Knight, William; Ogoh, George; Stahl, Bernd Carsten, 1968- Recent advances in Artificial Intelligence (AI) have led to intense debates about benefits and concerns associated with this powerful technology. These concerns and debates have similarities with developments in other emerging technologies characterized by prominent impacts and uncertainties. Against this background, this paper asks, What can AI governance, policy and ethics learn from other emerging technologies to address concerns and ensure that AI develops in a socially beneficial way? From recent literature on governance, policy and ethics of emerging technologies, six lessons are derived focusing on inclusive governance with balanced and transparent involvement of government, civil society and private sector; diverse roles of the state including mitigating risks, enabling public participation and mediating diverse interests; objectives of technology development prioritizing societal benefits; international collaboration supported by science diplomacy, as well as learning from computing ethics and Responsible Innovation. open access article
  • Artificial intelligence for human flourishing – Beyond principles for machine learning
    Artificial intelligence for human flourishing – Beyond principles for machine learning Stahl, Bernd Carsten, 1968-; Andreou, Andreas; Brey, Philip; Hatzakis, Tally; Kirichenko, Alexey; Macnish, Kevin; Laulhe Shaelou, Stephanie; Patel, Andrew; Ryan, Mark; Wright, David The technical and economic benefits of artificial intelligence (AI) are counterbalanced by legal, social and ethical issues. It is challenging to conceptually capture and empirically measure both benefits and downsides. We therefore provide an account of the findings and implications of a multi-dimensional study of AI, comprising 10 case studies, five scenarios, an ethical impact analysis of AI, a human rights analysis of AI and a technical analysis of known and potential threats and vulnerabilities. Based on our findings, we separate AI ethics discourse into three streams: (1) specific issues related to the application of machine learning, (2) social and political questions arising in a digitally enabled society and (3) metaphysical questions about the nature of reality and humanity. Human rights principles and legislation have a key role to play in addressing the ethics of AI. This work helps to steer AI to contribute to human flourishing. open access article
  • Organisational Responses to the Ethical Issues of Artificial Intelligence.
    Organisational Responses to the Ethical Issues of Artificial Intelligence. Stahl, Bernd Carsten, 1968-; Antoniou, Josephine; Ryan, Mark; Macnish, Kevin; Jiya, Tilimbe The ethics of artificial intelligence (AI) is a widely discussed topic. There are numerous initiatives that aim to develop principles and guidance to ensure that the development, deployment and use of AI are ethically acceptable. What is generally unclear is how organisations that make use of AI understand and address these ethical issues in practice. While there is an abundance of conceptual work on AI ethics, empirical insights are rare and often anecdotal. This paper fills the gap in our current understanding of how organisations deal with AI ethics by presenting empirical findings collected using a set of 10 case studies and providing an account of the cross-case analysis. The paper reviews the discussion of ethical issues of AI as well as mitigation strategies that have been proposed in the literature. Using this background, the cross-case analysis categorises the organisational responses that were observed in practice. The discussion shows that organisations are highly aware of the AI ethics debate and keen to engage with ethical issues proactively. However, they make use of only a relatively small subsection of the mitigation strategies proposed in the literature. These insights are of importance to organisations deploying or using AI, to the academic AI ethics debate, but maybe most valuable to policymakers involved in the current debate about suitable policy developments to address the ethical issues raised by AI. The file attached to this record is the author's final peer reviewed version.
  • Research and Practice of AI Ethics: A case study approach juxtaposing academic discourse with organisational reality
    Research and Practice of AI Ethics: A case study approach juxtaposing academic discourse with organisational reality Ryan, Mark; Antoniou, Josephina; Brooks, Laurence; Jiya, Tilimbe; Macnish, Kevin; Stahl, Bernd Carsten, 1968- This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD+AI) - using an empirical approach. The paper categorises the current literature and presents a multi-case study of 'on-the-ground' ethical issues that uses qualitative tools to analyse findings from ten targeted case-studies from a range of domains. The analysis coalesces identified singular ethical issues, (from the literature), into clusters to offer a comparison with the proposed classification in the literature. The results show that despite the variety of different social domains, fields, and applications of AI , there is overlap and correlation between the organisations’ ethical concerns. This more detailed understanding of ethics in AI+BD is required to ensure that the multitude of suggested ways of addressing them can be targeted and succeed in mitigating the pertinent ethical issues that are often discussed in the literature. The file attached to this record is the author's final peer reviewed version.
  • Artificial Intelligence for a Better Future
    Artificial Intelligence for a Better Future Stahl, Bernd Carsten, 1968- This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place. open access book
  • Let’s Claim the Authority to Speak out on the Ethics of Smart Information Systems
    Let’s Claim the Authority to Speak out on the Ethics of Smart Information Systems Stahl, Bernd Carsten, 1968-; Markus, M. Lynne
  • Framing governance for a contested emerging technology: insights from AI policy
    Framing governance for a contested emerging technology: insights from AI policy Ulnicane, Inga; Knight, William; Leach, Tonii; Stahl, Bernd Carsten, 1968-; Wanjiku, Winter-Gladys This paper examines how the governance in AI policy documents have been framed as way to resolve public controversies surrounding AI. It draws on the studies of governance of emerging technologies, the concept of policy framing, and analysis of 49 recent policy documents dedicated to AI which have been prepared in the context of technological hype expecting fast advances of AI that will fundamentally change economy and society. The hype about AI is accompanied by major public controversy about positive and negative effects of AI. Against the backdrop of this policy controversy, governance emerges as one of the frames that diagnoses the problems and offers prescriptions. Accordingly, the current governance characterized by oligopoly of a small number of large companies is indicated as one of the reasons for problems such as lack of consideration of societal needs and concerns. To address these problems, governance frame in AI policy documents assigns more active and collaborative roles to the state and society. Amid public controversies, the state is assigned the roles of promoting and facilitating AI development while at the same time being a guarantor of risk mitigation and enabler of societal engagement. High expectations are assigned to public engagement with multiple publics as a way to increase diversity, representation and equality in AI development and use. While this governance frame might have a normative appeal, it is not specific about addressing some well-known challenges of the proposed governance mode such as risks of capture by vested interests or difficulties to achieve consensus. Open Access article
  • Ethical and Social Aspects of Neurorobotics
    Ethical and Social Aspects of Neurorobotics Aicardi, Christine; Akintoye, Simisola; Fothergill, B. Tyr; Guerrero, Manuel; Klinker, Gudrun; Knight, William; Kluver, Lars; Morel, Yannick; Morin, Fabrice O.; Stahl, Bernd Carsten, 1968-; Ulnicane, Inga The interdisciplinary field of neurorobotics looks to neuroscience to overcome the limitations of modern robotics technology, to robotics to advance our understanding of the neural system’s inner workings, and to information technology to develop tools that support those complementary endeavours. The development of these technologies is still at an early stage, which makes them an ideal candidate for proactive and anticipatory ethical reflection. This article explains the current state of neurorobotics development within the Human Brain Project, originating from a close collaboration between the scientific and technical experts who drive neurorobotics innovation, and the humanities and social sciences scholars who provide contextualising and reflective capabilities. This article discusses some of the ethical issues which can reasonably be expected. On this basis, the article explores possible gaps identified within this collaborative, ethical reflection that calls for attention to ensure that the development of neurorobotics is ethically sound and socially acceptable and desirable. The file attached to this record is the author's final peer reviewed version.; open access article
  • The need for responsible technology
    The need for responsible technology Jirotka, Marina; Stahl, Bernd Carsten, 1968- open access article
  • Ethical Issues of Research Infrastructure: What are they and how can they be addressed?
    Ethical Issues of Research Infrastructure: What are they and how can they be addressed? Eke, Damian; Akintoye, Simisola; Knight, William; Ogoh, George; Stahl, Bernd Carsten, 1968- E-infrastructures are emerging as novel and effective ways of increasing creativity and efficiency of research. As technological innovations, these virtual, ubiquitous, pervasive infrastructures offer possibilities of international collaborations through open, data-driven and high-quality computing environments. Particularly in Europe, the aim is to create an ecosystem of e-science where multiple disciplines converge to foster interoperable and open collaboration with the help of significant data processing and computing capacity. While most agree that these research infrastructures are crucial to scientific reproducibility and rigor, e-infrastructural literature lacks critical discussions on the ethical concerns they raise or potentially can raise. This paper argues that e-infrastructures can raise a number of ethical, legal and social concerns. Some of these relate to data privacy and data security but they also include issues around animal welfare, data bias, intellectual property rights, environmental sustainability, digital divide and other unintended uses/misuses. This paper also presents a practical way of thinking about ethics in e-infrastructures. The underlying argument here is that addressing e-infrastructure ethical issues should start from the design of the infrastructure and continue through to its lifecycle. It requires the integration of relevant ethical principles into its design to foster responsible use/application. We then propose that this can be done through the Responsible Research and Innovation approach as an ethics-by-design tool. The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the URI link. open access

Click here to view a full listing of Bernd Stahl's publications and outputs.

Research interests/expertise

Computer and information ethics

Emerging Technologies

Responsible Research and Innovation

Areas of teaching

Ethics and ICT

Responsible Research and Innovation (RRI) in ICT

Critical approaches to information systems

Privacy

Qualifications

DSc De Montfort University, UK

PhD University Witten/Herdecke, Germany.

MSc in Industrial Engineering: University of the German Armed Forces, Hamburg, Germany

MA in Philosophy and Economics: University of Hagen, Germany

MPhil in Philosophy: University Michel de Montaigne, Bordeaux III, France

LLM in Business Law: De Montfort University, Leicester, UK

Membership of professional associations and societies

Fellow of the British Computer Society (BCS) (since 04/2010, Member from 2003)

Fellow of the International Information Management Association (IIMA) (from 2005);

President of the IIMA 2005-2006

Fellow of the Higher Education Academy (from March 2007), registered practitioner since April 2006

Member of the International Federation for Information Processing (IFIP), Working Group 8.2

Member of the Association for Information Systems (AIS)

Member of the United Kingdom Academy for Information Systems (UKAIS)

Member of the Information Resource Management Association (IRMA)

Member of the International Center for Information Ethics (ICIE)

Member of the European Business Ethics Network (EBEN)

Projects

I have or had significant leadership positions in the following projects:

SHERPA - Shaping the Ethical Dimensions of Smart Information Systems -a European Perspective (EU, SwafS, 2018-2021)

Human Brain Project (EU, FET Flagship, 2013-2023)
(report and video by Bloomberg and euronews)

ORBIT - The Observatory for RRI in ICT (EPSRC, 2017-2022, then spin-off company)

Responsible-Industry - Responsible Research and Innovation in Business and Industry in the Domain of ICT for, Health, Demographic Change and Wellbeing (EU, SiS, 2014-2017)

CONSIDER - Civil Society Organisations in Designing Research Governance (EU, SiS, 2012 - 2015)

Framework for RRI in ICT (EPSRC, 2011-2013, precedecssor of ORBIT)

ETICA - Ethical Issues of Emerging ICT Application (EU, SiS, 2009-2011)

Consultancy work

Ethics

Responsible Research and Innovation

Privacy Impact Assessment

Professional esteem indicators

 

Editorial work

Editor in Chief of the Journal of Responsible Technology (successor of the ORBIT journal)

PhD student supervision

I am interested in supervising high quality and motivated PhD students in my areas of interest, including:

  • Responsible research and innovation in ICT, notably questions like:
    • Industrial realisation of RRI
    • Success measures, impact of RRI
  • Responsible data governance
  • Ethical issue of emerging technologies, e.g. 
    • Brain-computer interfaces
    • Converging technologies (neuro, cognitive, ICT) 
Bernd Carsten Stahl