Publications
- Kerasidou, Charalampia Xaroula, Angeliki Kerasidou, Monika Buscher, and Stephen Wilkinson. “Before and beyond trust: reliance in medical AI.” Journal of Medical Ethics 2021;0:1–5. doi:10.1136/medethics-2020-10709
- Kerasidou, Angeliki, and Xaroula Charalampia Kerasidou. “AI in Medicine.” in David Edmonds Future Morality Oxford University Press (2021): 83.
Presentations
- Kerasidou XC, “Configuring Ethical AI”. Paper presented in 4S2021 Good Relations: Practices and Methods in Unequal and Uncertain Worlds.”, Toronto, Canada (virtual) – October 6-9 2021
- Kerasidou XC, “Configuring Ethical AI”. Paper presented in STS Italia DIS/ENTANGLING TECHNOSCIENCE: vulnerability, responsibility and justice, Trieste, Italy (virtual) – June 17-19 2021
- Kerasidou XC, “Beyond Heaven and Hell: configuring ethical AI”. Paper presented in EASST/4S Locating and Timing Matters: Significance and agency of STS in emerging worlds, Prague (virtual) – August 18-21 2020
- Kerasidou XC, “Interrogating AI mythologies “. Paper presented in Rethinking Digital Myths: Mediation, Narratives and Mythopoiesis in the Digital Age, USI Università Svizzera Italiana, Lugano, Switzerland – January 30-31 2020
- Kerasidou XC, “Figuring ethical AI (out)”. Poster presented in 4TU.Ethics Bi-annual Conference on the ‘Ethics of Disruptive Technologies’ TU/Eindhoven, November 7-8 2019
Resources
- Ada Lovelace Institute (2020) The data will see you now: Datafication and the boundaries of health
- EU Commission (2020) White Paper On Artificial Intelligence – A European approach to excellence and trust.
- EU Commission AI HLEG (2020) Assessment List for Trustworthy AI (a practical tool that translates the Ethics Guidelines into an accessible and dynamic (self-assessment) checklist)
- EU Commission AI HLEG (first draft 2018 – final version 2019) Ethics Guidelines for Trustworthy AI
- OECD (2019) Principles on Artificial Intelligence
- NHSX. (2019). Artificial Intelligence: How to get it right
- AI NOW Institute (2019) AI Now Report
- UK Government Office for Science (2019) Artificial intelligence: opportunities and implications for the future of decision making
- CDEI (2019) Centre for Data Ethics and Innovation 2-year strategy
- HM Government (2019) Industrial Strategy: Artificial Intelligence Sector Deal
- HM Government (2019) Science and Technology Committee: Robotics and artificial intelligence – Fifth Report of Session 2016–17.
- Academy of Medical Royal Colleges (2019) Artificial Intelligence in Healthcare
- NHS (2019) The NHS Long Term Plan
- NHS (2019) The Topol Review
- Future Advocacy. (2018). Ethical, Social, and Political Challenges of Artificial Intelligence in Health.
- AI NOW Institute (2018) AI Now Report
- AHSN Network. (2018). Accelerating Artificial Intelligence in health and care: results from a state of the national survey.
- House of Lord Select Committee on AI. (2018). AI in the UK: Ready, willing and able?
- HMG (2018) Government response to House of Lords Artificial Intelligence Select Committee’s Report on AI in the UK: Ready, Willing and Able?
- Nuffield Council on Bioethics (2018) Bioethics Briefing Note: Artificial Intelligence in healthcare and research.
- Reform (2018) Thinking on its own: AI in the NHS.
- Wendy Hall and Jérôme Pesenti (2017) Growing the Artificial Intelligence Industry in the UK
- Ipsos Mori (2017) Public views of Machine Learning.
- House of Commons Science and Technology Committee (2016). Robotics and artificial intelligence: Fifth Report of Session 2016–17
- Stanford University (2016) “Artificial Intelligence and Life in 2030.” One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel
to be continued ….