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Part II - Trust and Design

Published online by Cambridge University Press:  08 September 2022

Marcelo Corrales Compagnucci
University of Copenhagen
Michael Lowery Wilson
University of Turku, Finland
Mark Fenwick
Kyushu University, Japan
Nikolaus Forgó
Universität Wien, Austria
Till Bärnighausen
Universität Heidelberg
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AI in eHealth
Human Autonomy, Data Governance and Privacy in Healthcare
, pp. 123 - 206
Publisher: Cambridge University Press
Print publication year: 2022

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Andreassen, T and others, ‘Linking Service Design to Value Creation and Service Research’ (2016) 27(1) Journal of Service Management 21–29.Google Scholar
Bettencourt, L, Service Innovation: How to Go from Customer Needs to Breakthrough Services (McGraw-Hill 2010).Google Scholar
Carlborg, P, Kindström, D and Kowalkowski, C, ‘The Evolution of Service Innovation Research: A Critical Review and Synthesis’ (2014) 34(5) The Service Industries Journal 373–98.Google Scholar
Chaudhry, A and others, ‘Personal Data: Thinking Inside the Box’ (2015) 1(1) Aarhus Series on Human Centered Computing,, accessed 12 March 2021.Google Scholar
Cozy Cloud, Cozy cloud website,, accessed 30 April 2020.Google Scholar
de Montjoyeya, Y-A and others, ‘OpenPDS: Protecting the Privacy of Netadata through SafeAnswers’ (2014) 9(7) PloS One e98790, Scholar
Design Council, ‘What Is the Framework for Innovation? Design Council’s Evolved Double Diamond’ (2015),, accessed 30 April 2020.Google Scholar, website,, accessed 30 April 2020.Google Scholar
European Commission, Data Protection. Special Eurobarometer (431) (2015).Google Scholar
European Union, ‘Regulation (EU) 2016/679 of the European Parliament and of the Council’ (2016) L119 Official Journal of the European Union 1–88.Google Scholar
Gigerenzer, G and Selten, R, Bounded Rationality: The Adaptive Toolbox (MIT Press 2001).Google Scholar
Grönroos, C, ‘Value Co-creation in Service Logic: A Critical Analysis’ (2011) 11(3) Marketing Theory 279–301.Google Scholar
Grönroos, C and Voima, P, ‘Critical Service Logic: Making Sense of Value Creations and Co-creation’ (2013) 41(2) Journal of the Academy of Marketing Science 133–50.Google Scholar
Gustafsson, A, Kristensson, P and Witell, L, ‘Customer Co‐creation in Service Innovation: A Matter of Communication?’ (2012) 23(3) Journal of Service Management 311–27,, accessed 12 March 2021.Google Scholar
Heinonen, K and others, ‘A Customer-Dominant Logic of Service’ (2010) 21(4) Journal of Service Management 531–48.CrossRefGoogle Scholar
Heinonen, K and Strandvik, T, ‘Customer-Dominant Logic: Foundations and Implications’ (2015) 29(6/7) Journal of Services Marketing 472–84.Google Scholar
Heinonen, K and Strandvik, T, ‘Reflections on Customers’ Primary Role in Markets’ (2018) 36(1) European Management Journal 1–11.CrossRefGoogle Scholar
Heinonen, K, Strandvik, T and Voima, P, ‘Customer Dominant Value Formation in Service’ (2013) 25(2) European Business Review 104–23.CrossRefGoogle Scholar
Hub of All Things, Hub of All Things GitHub page,, accessed 30 April 2020.Google Scholar
Keinonen, T, Vaajakallio, K and Honkonen, J (eds), Designing for Wellbeing (Aalto University, School of Arts, Design and Architecture 2013).Google Scholar
Kortesniemi, Y and Kremer, J, ‘Recommendations and Automation in the Consenting Process: Designing GDPR compliant consents’, Paper presented at Legal Design as Academic Discipline: Foundations, Methodology, Applications (Groningen, Netherlands 2018).Google Scholar
Kortesniemi, Y, Lappalainen, T and Salka, F, ‘User Attitudes towards Consent Intermediaries’, Paper presented at Legal Design as Academic Discipline: Foundations, Methodology, Applications (Groningen, Netherlands 2018).Google Scholar
Lehtiranta, L, Junnonen, J, Kärnä, S and Pekuri, L and others, ‘The Constructive Research Approach: Problem Solving for Complex Projects’ in Pasian, B (ed), Designs, Methods and Practices for Research of Project Management (Gower Applied Business Research 2015).Google Scholar
Lehtiniemi, T and Kortesniemi, Y, ‘Can the Obstacles to Privacy Self-Management Be Overcome? Exploring the Consent Intermediary Approach’ (2017) 4(2) Big Data and Society 1–11.Google Scholar
Liu, B and others, ‘Follow My Recommendations: A Personalized Privacy Assistant for Mobile App Permissions’ in Proceedings of the 12th Symposium on Usable Privacy and Security, Denver, USA, 22–24 June (USENIX 2016).Google Scholar
Lusch, RF and Vargo, SL, Service-Dominant Logic: Premises, Perspectives, Possibilities (Cambridge University Press 2014).Google Scholar
McDonald, A and Cranor, LF, ‘The Cost of Reading Privacy Policies’ (2008) I/S: A Journal of Law and Policy for the Information Society.Google Scholar
Meeco, Meeco website,, accessed 30 April 2020.Google Scholar
Miettinen, S, ‘Designing Services with Innovative Methods’ in Miettinen, S and Koivisto, M (eds), Designing Services with Innovative Methods. University of Art and Design & Kuopio Academy of Design. Taideteollisen korkeakoulun julkaisusarja, B. Taitemia (Otava Book Printing 2009).Google Scholar
Mirsch, T, Lehrer, C and Jung, R, ‘Digital Nudging: Altering User Behavior in Digital Environments’ in Proceedings of 13. Internationale Tagung Wirtschaftsinformatik (WI, St Gallen, Switzerland 2017).Google Scholar
Poikola, A, Kuikkaniemi, K and Honko, H, ‘MyData – A Nordic Model for Human-Centered Personal Data Management and Processing’ (Finnish Ministry of Transport and Communications 2015).Google Scholar
Prahalad, CK and Ramaswamy, V, ‘Co-creation Experiences: The Next Practice in Value Creation’ (2004) 18(3) Journal of Interactive Marketing 5–14.Google Scholar
Ramaswamy, V, ‘It’s about Human Experiences … and Beyond, to Co-creation’ (2011) 40, Industrial Marketing Management 195–96.Google Scholar
Solove, DJ, ‘Privacy Self-Management and the Consent Dilemma’ (2013) 126(7) Harvard Law Review 1880–1903.Google Scholar
Stickdorn, M and others, This Is Service Design Doing: Applying Service Design Thinking in the Real World: A Practitioner’s Handbook’ (O’Reilly Media 2018).Google Scholar
Sundbo, J and Toivonen, M, User-Based Innovation in Services (Edward Elgar 2011).Google Scholar
Sunstein, CR, ‘The Ethics of Nudging’ (2015) 32 Yale Journal on Regulation 413–50.Google Scholar
Thaler, RH and Sunstein, CR, Nudge: Improving Decisions about Health, Wealth, and Happiness (Penguin Books 2009).Google Scholar
Turow, J, Hennessy, M and Draper, N, The Tradeoff Fallacy. How Marketers Are Misrepresenting American Consumers and Opening Them Up to Exploitation. A Report from the Annenberg School for Communication, University of Pennsylvania (2015).Google Scholar
Vaajakallio, K and Mattelmäki, T, ‘Yhteissuunnittelu avaa uusia näkymiä julkiselle sektorille’ in Keinonen, T, Vaajakallio, K and Honkonen, J (eds), Hyvinvoinnin muotoilu, Helsinki: Aalto-yliopiston taiteiden ja suunnittelun korkeakoulu (Aalto Arts Books 2013).Google Scholar
van Aaken, A, ‘Judge the Nudge: In Search of the Legal Limits of Paternalistic Nudging in the EU’ in Alemanno, A and Sibony, AL (eds), Nudge and the Law: A European Perspective (Hart Publishing 2015).Google Scholar
Vargo, SL and Lusch, RF, ‘Evolving to a New Dominant Logic for Marketing’ (January 2014) 68 Journal of Marketing 1–17.Google Scholar
Vargo, SL and Lusch, RF, ‘Service-Dominant Logic: Continuing the Evolution’ (2008) 36 Journal of the Academy of Marketing Science 1–10.Google Scholar
Vargo, SL, Maglio, PP and Akaka, MA, ‘On Value and Value Co-creation: A Service Systems and Service Logic Perspective’ (2008) 26(3) European Management Journal 145–52.Google Scholar
Wachter, S, ‘Privacy: Primus Inter Pares – Privacy as a Precondition for Self-Development, Personal Fulfilment and the Free Enjoyment of Fundamental Human Rights’,, accessed 30 April 2020.Google Scholar
Yu, E and Sangiorgi, D, ‘Service Design As an Approach to Implement the Value Cocreation Perspective in New Service Development’ (2018) 21(1) Journal of Service Research 40–58.Google Scholar
Zuboff, S, ‘Big Other: Surveillance Capitalism and the Prospects of an Information Civilization’ (2015) 30(1) Journal of Information Technology 75–89.Google Scholar


Arel, I, Rose, D and Karnowski, T, ‘Deep Machine Learning – A New Frontier in Artificial Intelligence Research’ (2010) 5(6) November IEEE Computational Intelligence Magazine 13–18.Google Scholar
Barth, A, Algorithmik für Einsteiger (2nd ed. Springer Spektrum 2013).Google Scholar
Cormen, TH, Leiserson, CE, Rivest, R and Stein, C, Algorithmen – Eine Einführung (4th ed. de Gruyter 2017).Google Scholar
Bitkom, DFK (eds), ‘Künstliche Intelligenz – Wirtschaftliche Bedeutung, gesellschaftliche Herausforderungen, menschliche Verantwortung’ (2017),, accessed 25 April 2019.Google Scholar
Doshi-Velez, F and Kortz, M, ‘Accountability of AI under the Law: The Role of Explanation’ (2017) 18-07 Harvard Public Law Working Paper.Google Scholar
Ernst, C, ‘Algorithmische Entscheidungsfindung und Personenbezogene Daten’ (2017) 72(21) Juristen Zeitung 1026–36.Google Scholar
Ertel, W, Grundkurs künstliche Intelligenz (4th ed. Springer Vieweg 2016).Google Scholar
Hall, P, Phan, W and Ambati, S, ‘Ideas on Interpreting Machine Learning’ (2017),, accessed 15 March 2017.Google Scholar
Hoffman-Riem, W, ‘Verhaltenssteuerung durch Algorithmen – Eine Herausfo-rderung für das Recht’ (2017) 142 Archiv des Öffentlichen Rechts 6–36.Google Scholar
Honey, C, ‘Künstliche Intelligenz – Die Suche nach dem Babelfisch’ (2016) Zeit Online,, accessed 24 April 2019.Google Scholar
Kroll, JA, Huey, J and Barocas, S et al., ‘Accountable Algorithms’ (2017) 165(3) University of Pennsylvania Law Review 633–705.Google Scholar
LeCun, Y, Bengio, Y and Hinton, G, ‘Deep Learning’ (2017) 521 Nature Deep Review 436–44.Google Scholar
Malgieri, G and Comandé, G, ‘Why a Right to Legibility of Automated Decision-Making Exists in the General Data Protection Regulation’ (2017) 7(4) International Data Privacy 243–65.Google Scholar
Martini, M ‘Algorithmen als Herausforderung für die Rechtsordnung’ (2017) 72(21) Juristische Zeitung 1017–25.Google Scholar
Paal, B and Pauly, D (eds), Datenschutz-Grundverordnung, Bundesdatenschutzgesetz (2nd ed. C. H. Beck 2018).Google Scholar
Price, N, ‘Black-Box Medicine’ (2015) 28(2) Harvard Journal of Law & Technology 419–67.Google Scholar
Ribeiro, M, Singh, S and Guestrin, C, ‘Why Should I Trust You? Explaining the Predictions of Any Classifier’ (2016),, accessed 27 June 2018.Google Scholar
Schmidhuber, J, ‘Deep Learning in Neural Networks: An Overview’ (2015) 61 Neural Networks 85.CrossRefGoogle ScholarPubMed
Seifert, C et al., ‘Visualizations of Deep Neural Networks in Computer Vision: A Survey’ in Cerquitelli, T, Quercia, D and Pasquale, F (eds), Transparent Data Mining for Big and Small Data (Springer 2017), 123–25.Google Scholar
Stiemerling, O, ‘Künstliche Intelligenz – Automatisierung geistiger Arbeit, Big Data und das Internet der Dinge’ (2015) 12 Computer & Recht 762.Google Scholar
Sydow, G, Europäische Datenschutzgrundverordnung (2nd ed. Nomos 2018).Google Scholar
Wachter, S, Mittelstadt, B and Russell, C, ‘Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR’ (2018) 31(2) Harvard Journal of Law & Technology 841–87.Google Scholar
Wolff, H and Brink, S, ‘Beck’scher Online-Kommentar Datenschutzrecht’ (27th ed. C.H. Beck 2019).Google Scholar


Adly, AS and others, ‘Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19 Scoping Review’ (2020) 22(8), Journal of Medical Internet Research e19104.Google Scholar
ANSSI, Dossier de presse, ‘Cybersécurité, faire face à la menace: la stratégie française’ (2021), 18 February 2021,, accessed 1 March 2021.Google Scholar
Arenas-Cavalli, JT and others, ‘Clinical Validation of an Artificial Intelligence-Based Diabetic Retinopathy Screening Tool for a National Health System’ (2022) Eye 78.Google Scholar
Beijing AI Principles. Datenschutz Datensich 43, 656 (2019),, accessed 14 March 2021.Google Scholar
Belgrave, D and others, ‘Understanding Client Support Strategies to Improve Clinical Outcomes in An Online Mental Health Intervention’ (2020), Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–16.Google Scholar
Bennett, CR and others, ‘Visitors and Resident Autonomy: Spoken and Unspoken Rules in Assisted Living’ (2017) 57(2) The Gerontologist 252–60.Google Scholar
Bergé, J-S, Grumbach, S and Zeno-Zencovich, V, ‘The “Datasphere”, Data Flows beyond Control, and the Challenges for Law and Governance’ (2018) 5(2) European Journal of Comparative Law and Governance 144–78.CrossRefGoogle Scholar
Bloss, CS and others, ‘Direct-to-Consumer Personalized Genomic Testing’ (2011) 20(R2) Human Molecular Genetics R132–41.Google Scholar
Briganti, G and Le Moine, O, ‘Artificial Intelligence in Medicine: Today and Tomorrow’ (2020) 7 Frontiers in Medicine 27.Google Scholar
Butcher, J and Beridze, I, ‘What Is the State of Artificial Intelligence Governance Globally?’ (2019) 164(5–6) The RUSI Journal 88–96.Google Scholar
Cappelleri, DJ, Bi, C and Guix, M, ‘Tumbling Microrobots for Future Medicine: Robots Smaller than a Grain of Sand Could Move through the Body by Tumbling End Over End, Opening up the Possibility of Intriguing Biomedical Applications’ (2018) 106(4) American Scientist 210–14.Google Scholar
Carrillo, MR, ‘Artificial Intelligence: From Ethics to Law’ (2020) 44(6) Telecommunications Policy 101937.Google Scholar
Cath, C, ‘Governing Artificial Intelligence: Ethical, Legal and Technical Opportunities and Challenges’ (2018) 44(6) Telecommunications Policy 101937.Google Scholar
Clarke, R, ‘Principles and Business Processes for Responsible AI’ (2019) 35(4) Computer Law and Security Review 410–22.Google Scholar
De la Garza, A, ‘Contact Tracing Apps Were Big Tech’s Best Idea for Fighting COVID-19. Why Haven’t They Helped?’ Time, 10 November 2020.Google Scholar
Dimitrov, DV, ‘Medical Internet of Things and Big Data in Healthcare’ (2016) 22(3) Healthcare Informatics Research 156.Google Scholar
European Commission’s High Level Expert Group on Artificial Intelligence, “Ethics Guidelines for Trustworthy AI”, 8 April 2019, 5.Google Scholar
European Parliament Resolution of 20 October 2020 with recommendations to the Commission on a civil liability regime for artificial intelligence (2020/2014(INL)), 20 October 2020, P9_TA(2020)0276,, accessed 20 March.Google Scholar
Eysenbach, G, ‘What Is Digital Health?’ (2001) 3(2) Journal of Medical Internet Research e20.Google Scholar
Fellay, J, ‘Le Champ des Possibles: Recherche Translationnelle et Médecine de Précision’ (La Rencontre entre la Science et le Droit dans le Numérique 2. Les Défis Juridiques de l’Intelligence Artificielle: Regards Croisés entre Santé et Justice, Lausanne, 13 February 2020).Google Scholar
Floridi, L and Strait, A, ‘Ethical Foresight Analysis: What It Is and Why It Is Needed?’ (2020) 30(1) Minds and Machines 77.Google Scholar
Fox, C, ‘The Ethical Dilemma We Face on AI and Autonomous Tech’ (New Rules, TEDxMidAtlantic Event, Washington DC, 21 October 2016).Google Scholar
Global Digital Health Outlook, 2020 (2019), 23 August 2019, Frost & Sullivan.Google Scholar
Guarda, P, ‘Ok Google, Am I Sick?”: Artificial Intelligence, e-Health, and Data Protection Regulation’ (2019) 15(1) BioLaw Journal-Rivista di BioDiritto 359–75.Google Scholar
High-Level Expert Group on AI presented Ethics Guidelines for Trustworthy Artificial Intelligence,, accessed 14 March 2021.Google Scholar
Hu, J, Perer, A and Wang, F, ‘Data Driven Analytics for Personalized Healthcare’ in Weaver, CA and others (eds), Healthcare Information Management Systems: Cases, Strategies, and Solutions (Springer 2016).Google Scholar
ITU/WHO Focus Group on Digital Health,, accessed 14 March 2021.Google Scholar
Knott, GJ and Doudna, JA, ‘CRISPR-Cas Guides the Future of Genetic Engineering’ (2018) 361(6405) Science 866–69.Google Scholar
Koene, A and others, ‘Governance Framework for Algorithmic Accountability and Transparency’, Publications Office,, accessed 14 March 2021.Google Scholar
Kroll, JA and others, ‘Accountable Algorithms’ (2017) 165(3) University of Pennsylvania Law Review 633.Google Scholar
Lapao, LV and others, ‘Implementing an Online Pharmaceutical Service Using Design Science Research’ (2017) 17(1) BMC Medical Informatics and Decision Making 1–14.Google Scholar
Levin, D, ‘Lessons Learned in Using Live Red Teams in IA Experiments’ in Proceedings DARPA Information Survivability Conference and Exposition (IEEE Computer Society 2003), 110–19.Google Scholar
Lupton, D, ‘Data Mattering and Self-Tracking: What Can Personal Data Do?’ (2020) 34(1) Continuum 1–13.Google Scholar
Lupton, D, ‘The Internet of Things: Social Dimensions’ (2020) 14(4) Sociology Compass e12770,, accessed 14 March 2021.Google Scholar
Lupton, D, ‘A More-Than-Human Approach to Bioethics: The Example of Digital Health’ (2020) 34(9) Bioethics 969–76.Google Scholar
Lupton, D, ‘Teaching and Learning Guide – The Internet of Things: Social Dimensions’ (2020) 14(4) Sociology Compass e12777,, accessed 14 March 2021.Google Scholar
Lupton, D, ‘Thinking with Care about Personal Data Profiling: A More-Than-Human Approach’ (2020) 14 International Journal of Communication 3165–83,, accessed 19 March 2021.Google Scholar
Marescaux, J and others, ‘Transatlantic Robot-Assisted Telesurgery’ (2001) 413(6854) Nature 379–80.Google Scholar
Martin, K, ‘Ethical Implications and Accountability of Algorithms’ (2019) 160(4) Journal of Business Ethics 835–50.Google Scholar
McDowell, JC, ‘The Low Earth Orbit Satellite Population and Impacts of the SpaceX Starlink Constellation’ (2020) 892(2) The Astrophysical Journal Letters L36.Google Scholar
McGhin, T and others, ‘Blockchain in Healthcare Applications: Research Challenges and Opportunities’ (2019) 135 Journal of Network and Computer Applications 62–75.Google Scholar
McPadden, J and others, ‘Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform’ (2019) 21(4) Journal of Medical Internet Research e13043.Google Scholar
Minoli, D, Sohraby, K and Kouns, J, ‘IoT Security (IoTSec) Considerations, Requirements, and Architectures’ (2017) 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), IEEE 1006–7.Google Scholar
Mittelstaadt, B, ‘Principles Alone Cannot Guarantee Ethical AI’ (2019) 1(11) Nature Machine Intelligence 501–07.Google Scholar
Mittelstaadt, BD and others, ‘The Ethics of Algorithms: Mapping the Debate’ (2016) 3(2) Big Data and Society 2053951716679679.Google Scholar
Mouchet, C and others, ‘Multiparty Homomorphic Encryption from Ring-Learning-With-Errors’ (2020), Report 2020/304, Cryptology ePrint Archive,, accessed 1 March 2021.Google Scholar
Nanni, M and others, ‘Give More Data, Awareness and Control to Individual Citizens, and They Will Help COVID-19 Containment’ (2021) 23(1) Ethics and Information Technology 1–6,, accessed 19 March 2021.Google Scholar
Nebeker, C, Torous, J and Ellis, RJB, ‘Building the Case for Actionable Ethics in Digital Health Research Supported by Artificial Intelligence’ (2019) 17(1) BMC Medicine 1–7.Google Scholar
OECD Principles on AI,, accessed 14 March 2021. Park, Y and others, ‘Emergence of New Disease: How Can Artificial Intelligence Help?’ (2020) 26(7) Trends in Molecular Medicine 627–29.Google Scholar
Pentland, A, ‘Healthwear: Medical Technology Becomes Wearable’ (2004) 37(5) Computer 42–49.Google Scholar
Pointer, P, ‘The Rise of Telemedicine: How to Mitigate Potential Fraud’ (2020) 2020(6) Computer Fraud and Security 6–8.Google Scholar
Radin, JM and others, ‘Harnessing Wearable Device Data to Improve State-Level Real-Time Surveillance of Influenza-Like Illness in the USA: A Population-Based Study’ (16 January 2020),, accessed 16 March 2021.Google Scholar
Rahwan, I, ‘Society-in-the-Loop: Programming the Algorithmic Social Contract’ (2018) 20(1) Ethics and Information Technology 5–14.Google Scholar
Raisaro, JL, ‘Privacy-Enhancing Technologies for Medical and Genomic Data: From Theory to Practice’ (PhD thesis, École Polytechnique Fédérale de Lausanne 2018).Google Scholar
Raji, ID and others, ‘Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing’ (2020) Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Association for Computing Machinery 2020).Google Scholar
Regulation (EU) 2017/745 of the European Parliament and of the Council of 5 April 2017 on medical devices, amending Directive 2001/83/EC, Regulation (EC) No 178/2002 and Regulation (EC) No 1223/2009 and repealing Council Directives 90/385/EEC and 93/42/EEC.Google Scholar
Rocher, L, Hendrickx, JM and de Montjoye, YA, ‘Estimating the Success of Re-identifications in Incomplete Datasets Using Generative Models’ (2019) 10(1) Nature Communications 3069.Google Scholar
Roehrs, A and others, ‘Personal Health Records: A Systematic Literature Review’ (2017) 19(1) Journal of Medical Internet Research e13.Google Scholar
Roy, JD and others, La Bioéthique, ses fondements et ses controverses (Renouveau pédagogique 1995).Google Scholar
Salama, MA, Hassanien, AE and Mostafa, A, ‘The Prediction of Virus Mutation Using Neural Networks and Rough Set Techniques’ (2016) 2016(1) EURASIP Journal on Bioinformatics and Systems Biology 1–11.Google Scholar
Salathé, M, Wiegand, T and Wenzeland, M, ‘Focus Group on Artificial Intelligence for Health’ (13 September 2018),, accessed 1 March 2022.Google Scholar
Saleiro, P and others, ‘Aequitas: A Bias and Fairness Audit Toolkit’ (v2, 29 April 2019),, accessed 1 March 2022.Google Scholar
Sandvig, C and others, ‘Auditing Algorithms: Research Methods for Detecting Discrimination on Internet Platforms’ (Preconference ‘Data and Discrimination: Converting Critical Concerns into Productive Inquiry’ at the 64th Annual Conference of the International Communication Association, Seattle WA, 22 May 2014),, accessed 1 March 2022.Google Scholar
Savage, N, ‘How AI Is Improving Cancer Diagnostics’ (2020) Nature Outlook,, accessed 1 March 2022Google Scholar
Scheibner, J and others, ‘Data Protection and Ethics Requirements for Multisite Research with Health Data: A Comparative Examination of Legislative Governance Frameworks and the Role of Data Protection Technologies’ (2020) 7(1) Journal of Law and the Biosciences l.CrossRefGoogle Scholar
Schiff, D and others, ‘What’s Next for AI Ethics, Policy, and Governance? A Global Overview’ (2020) Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 153–58.Google Scholar
Schwab, K, The Fourth Industrial Revolution (Penguin Books 2016).Google Scholar
Sekiguchi, K and Hori, K, ‘Organic and Dynamic Tool for Use with Knowledge Base of AI Ethics for Promoting Engineers’ Practice of Ethical AI Design’ (2018) 35(1) AI & SOCIETY 51,, accessed 14 March 2021.Google Scholar
Simacek, KF and others, ‘Patient Engagement in Type 2 Diabetes Mellitus Research: What Patients Want’ (2018) 12 Patient Preference and Adherence 595.Google Scholar
Skevington, SM, Lofty, M and O’Connell, KA, ‘The World Health Organization’s WHOQOL-BREF Quality of Life Assessment: Psychometric Properties and Results of the International Field Trial. A Report from the WHOQOL Group’ (2004) 13(2) Quality of Life Research 299–310,, accessed 18 March 2021.Google Scholar
Sung, M, Marci, C and Pentland, A, ‘Wearable Feedback Systems for Rehabilitation’ (2005) 2(1) Journal of Neuroengineering and Rehabilitation 1–12.Google Scholar
‘Swiss Re and Palantir Technologies Put Pioneering Data and Analytics Platform at the Service of Global Health and Joins The Trinity Challenge’ (The Trinity Challenge, 28 October 2020, updated 3 June 2021),, accessed 7 March 2022.Google Scholar
Terzis, POnward for the Freedom of Others: Marching Beyond the AI Ethics’ in Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Association for Computing Machinery 2020).Google Scholar
Thieme, A and Belgrave, D, ‘Data-Driven Insights for More Effective, Personalized Care in Online Mental Health Interventions’ (Microsoft Research Blog, 24 March 2020).Google Scholar
Thomasen, K, ‘Ethics for Artificial Intelligence, Ethics for All’ (2019) 10(1) Paladyn, Journal of Behavioral Robotics 359–363,, accessed 14 March 2021.Google Scholar
Ting, DSW and others, ‘Artificial Intelligence, the Internet of Things, and Virtual Clinics: Ophthalmology at the Digital Translation Forefront’ (2020)2(1) The Lancet Digital Health e8–e9.Google Scholar
Ting, DSW and others, ‘Deep Learning in Ophthalmology: The Technical and Clinical Considerations’ (2019) 72 Progress in Retinal and Eye Research 100759Google Scholar
Tsoi, K and others, ‘Applications of Artificial Intelligence for Hypertension Management’ (2021) 23(3) The Journal of Clinical Hypertension.Google Scholar
Urman, V and others, La revolution épigénétique (Albin Michel 2019).Google Scholar
Vallee, T and others, ‘On Personalization in IoT’ (2016), 2016 International Conference on Computational Science and Computational Intelligence (CSCI), IEEE 186–91.CrossRefGoogle Scholar
Vayana, E and others, ‘Ethical Challenges of Big Data in Public Health’ (2015) 11(2) PLOS Computational Biology e1003904.Google Scholar
Vayena, E and others, ‘Digital Health: Meeting the Ethical and Policy Challenges’ (2018) 148 Swiss Medical Weekly w14571.Google Scholar
Webster, P, ‘Virtual Health Care in the era of COVID-19’ (2020) 395(10231) The Lancet 1180–1.Google Scholar
Whittlestone, J and others, ‘The role and limits of principles in AI ethics: towards a focus on tensions’ Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society (2019) 195–200.Google Scholar
Wicks, P and others, ‘Scaling Patients LikeMe via a “Generalized Platform” for Members with Chronic Illness: Web-Based Survey Study of Benefits Arising’ (2018) 20(5) Journal of Medical Internet Research, e175.Google Scholar
Winfield, AFT and Jirotka, M, ‘Ethical Governance is Essential to Building Trust in Robotics and Artificial Intelligence Systems’ (2018) 376(2133) Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 20180085.Google Scholar
WHO (World Health Organisation), Guidelines: ‘recommendations on digital interventions for health system strengthening’ (2018),, accessed 14 March 2021.Google Scholar
WHO (World Health Organisation), Presentation of Health Systems,, accessed 19 February 2021.Google Scholar
Yala, A and others, A Deep Learning Mammography-Based Model for Improved Breast Cancer Risk Prediction (July 2019) 292(1) Radiology 60–66,, accessed 1 March 2022.Google Scholar
Yue, X, and others, ‘Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control’ (2016) 40(10) Journal of Medical Systems 218.Google Scholar
Zhang, P and others, ‘Blockchain Technology Use Cases in Healthcare’ in Raj P and Deka GC (eds), Advances in Computers, vol. 111: Blockchain Technology: Platforms, Tools and Use Cases (Academic Press 2018) 1–41.Google Scholar
Zyskind, G, Nathan, O and Pentland, A, ‘Enigma: Decentralized Computation Platform with Guaranteed Privacy (10 June 2015),, accessed 1 March 2022.Google Scholar

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