Mail address

Wageningen University & Research Wageningen Economic Research Droevendaalsesteeg 4 6708 PB Wageningen The Netherlands

Telephone

+31634230163

mark.ryan@wur.nl

Mark Ryan is a Digital Ethics Researcher at Wageningen Economic Research, Wageningen University & Research. He specialises in the ethics of AI, data-sharing, and robotics. In his work at Wageningen, his research gives a special attention to ethical and societal concerns of developing and implementing digital technologies in the agri-food sector.

Mark was previously a researcher at KTH University (Stockholm), the University of Twente (the Netherlands), and the National University of Ireland, Galway (Ireland). While at Twente, he worked on an interdisciplinary  project (SHERPA), involving 11 partners from 6 European countries. This project was a European Union Horizon 2020 project (2018-2021, budget €3 million) and focused on the ethical, social and human rights implications of smart information systems (data analytics and artificial intelligence) within a European context.

While at the National University of Ireland, Galway, he worked as a Postdoctoral Researcher on the MARIO Project (Horizon 2020, budget €4 million, 2015-2018). This project assessed the difficulties of loneliness and isolation among people with dementia and the possibility of using service robots to ameliorate some these issues.

He has published on topics, such as the ethics of smart cities, self-driving vehicles, agricultural data analytics, social robotics, and AI. In his previous research, he has also published a 2016 monograph: Human Values, Environmental Ethics and Sustainability.

 

Publications:

Ryan, M. (2020). Agricultural big data analytics and the ethics of power. Journal of Agricultural and Environmental Ethics, 33(1), 49–69.
Ryan, M. (2020). In AI We Trust: Ethics, Artificial Intelligence, and Reliability. Science and Engineering Ethics, 1–19.
Ryan, M. (2020). In defence of digital contact-tracing: Human rights, South Korea and Covid-19. International Journal of Pervasive Computing and Communications.
Ryan, M., Antoniou, J., Brooks, L., Jiya, T., Macnish, K., & Stahl, B. (2020). The Ethical Balance of Using Smart Information Systems for Promoting the United Nations’ Sustainable Development Goals. Sustainability, 12(12), 4826.
Ryan, M., & Stahl, B. C. (2020). Artificial intelligence ethics guidelines for developers and users: Clarifying their content and normative implications. Journal of Information, Communication and Ethics in Society.
Stahl, B. C., Andreou, A., Brey, P., Hatzakis, T., Kirichenko, A., Macnish, K., Shaelou, S. L., Patel, A., Ryan, M., & Wright, D. (2020). Artificial intelligence for human flourishing–Beyond principles for machine learning. Journal of Business Research.
Ryan, M., Antoniou, J., Brooks, L., Jiya, T., Macnish, K., & Stahl, B. (2019). Technofixing the Future: Ethical Side Effects of Using AI and Big Data to meet the SDGs. 335–341.
Kevin, M., Mark, R., & Bernd, S. (2019). Understanding Ethics and Human Rights in Smart Information Systems: A Multi Case Study Approach. The ORBIT Journal, 2(2), 1–34.
Maas, I. O., & Stahl, B. (2019). D3. 2 Guidelines for the development and use of SIS.
Macnish, K., Ryan, M., & Stahl, B. (2019). Understanding ethics and human rights in smart information systems. ORBIT Journal, 2(2).
Mark, R. (2019). Ethics of using AI and big data in agriculture: The case of a large agriculture multinational. The ORBIT Journal, 2(2), 1–27.
Rodrigues, R., Panagiotopoulos, A., Lundgren, B., Shaelou, S. L., & Grant, A. (2019). Regulatory options for AI and big data. SHERPA D3, 3.
Ryan, M. (2019). Ethics of Public Use of AI and Big Data. ORBIT Journal, 2 (2).
Ryan, M. (2019). Ethics of Public Use of AI and Big Data: The Case of Amsterdam’s Crowdedness Project. ORBIT Journal, 2(2), 1–33.
Ryan, M. (2019). The future of transportation: Ethical, legal, social and economic impacts of self-driving vehicles in the year 2025. Science and Engineering Ethics, 1–24.
Ryan, M., & Gregory, A. (2019). Ethics of Using Smart City AI and Big Data: The Case of Four Large European Cities. ORBIT Journal, 2(2), 1–36.
Warletta, J. A., Sakurai, M., & van Schalkwyk, S. (2019). Ethics of Public Use of AI and Big Data.
Ryan, M. J. (2018). SHERPA Project–Ethical Issues with Using Smart Information Systems in Case Studies and Scenarios.
Zijlstra, T., Bijlsma, M., & Ryan, M. J. (2018). Hoe houd je de balans tussen AI, big data en ethiek? IBestuur Online, 2018.
Felzmann, H., Beyan, T., Ryan, M., & Beyan, O. (2016). Implementing an ethical approach to big data analytics in assistive robotics for elderly with dementia. ACM SIGCAS Computers and Society, 45(3), 280–286.
Ryan, M. (2016). Human Value, Environmental Ethics and Sustainability: The Precautionary Ecosystem Health Principle.
Beyan, T., Felzmann, H., Ryan, M. J., Lang, N., & Beyan, O. (2015). D1. 2 Ethics Framework: Managing active and healthy aging with use of caring service robots.
Felzmann, H. (2015). Beyan (2015) Implementing an ethical approach to big data analytics in assistive robotics for elderly with dementia. ETHICOMP2015, De Montfort University, Leicester, UK. September, 7–9.
Ryan, M. (2015). The precautionary ecosystem health principle: Weak. Ecosystem Health, 3(3), 133–135.
Ryan, M. (2014). John Barry: The Politics of Actually Existing Unsustainability: Human Flourishing in a Climate-Changed, Carbon-Constrained World. Plurilogue, 4(1), 12–14.
Ryan, M. (2013). Prime Movers of Globalization: The History and Impact of Diesel Engines and Gas Turbines. The European Legacy, 18(5), 675–676.
Ryan, M. (2013). The Precautionary Principle, Libertarianism and Paternalism. In Looking Within: Finding an Environmental Justice and Global Citizenship Lens (pp. 23–31).

Scroll to top