GAIEC Repository
The GAIEC Repository has the goal of promoting research on AI ethics and making this information more easily available to all. Through the Global AI Ethics Consortium (GAIEC) and the Repository, we hope to increase collaboration and knowledge sharing on the use of responsible AI. The Repository centralizes data, publications and other work from members and those working on AI ethics, broadly. It is a continuously expanding database and we welcome suggestions for contributions. Please send your questions or contributions to: gaiec@mcts.tum.de
AI and
COVID-19
AI and COVID-19
- Ethics, AI, Mass Data and Pandemic Challenges: Responsible Data Use and Infrastructure Application for Surveillance and Pre-emptive Tracing Post-crisis, 2020, SMU Centre for AI & Data Governance Research Paper No. 2020/02 (Findlay, M. and Loke, J. and Remolina, N. nd Tham, B.).
- Ethics, Rule of Law and Pandemic Responses, 2020 (Findlay, M.).
- Law and COVID-19, 2020, Singapore Management University School of Law (Gurrea-Martínez, A., Findlay, M. et al.).
- Regulating Personal Data Usage in COVID-19 Control Conditions, 2020, SMU Centre for AI & Data Governance Research Paper No. 2020/04 (Findlay, M. and Remolina, N.).
- Ethical Guidelines for SARS-CoV-2 Digital Tracking and Tracing Systems, 2020 (Morley, J., Cowls, J. and Taddeo, M. and Floridi, L.).
- Mind the App—Considerations on the Ethical Risks of COVID-19 Apps, 2020, Philos. Technol. 33: 167–172 (Floridi, L.).
- Éthique et intégrité scientifique à l’heure de la MaCoV-19, 2020, Revue de neuropsychologie, 12(2): 240-242. (Ganascia, J.).
- Scrutinising COVIDSafe: Frameworks for evaluating digital contact tracing technologies, 2020, Alternative Law Journal (Lodders, A. and Paterson, JM).
- The privacy paradox: why we let ourselves be monitored, 2020, University of Melbourne (Paterson, J. and Miller, T.).
- Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle, 2020, Sci. Adv. 6 (eabc0764) (Oliver, N., Verhulst, S. et al.).
- Leveraging Data Science To Combat COVID-19: A Comprehensive Review, 2020, TechRxiv (Latif, S., Weller, A. et al.).
AI and
Healthcare
AI and Healthcare
- An ethically mindful approach to AI for health care, 2020, Lancet, 395(10220): 254-255 (Morley J, Floridi L).
- Online Information of Vaccines: Information Quality, Not Only Privacy, Is an Ethical Responsibility of Search Engines, 2020, Front. Med. 7: 400 (Ghezzi P., Floridi, L., et al.).
- The ethics of AI in health care: A mapping review, 2020, Social Science & Medicine, 260: 113172 (Morley, J., Floridi, L.).
- Preventing depression using a smartphone app: A randomized controlled trial, 2020, Psychological Medicine, 1-10 (Deady, M. Calvo, R., et al.).
- The Utility of a Mental Health App in Apprentice Workers: A Pilot Study, 2020, Frontiers in Public Health, 8 (389) (Deady, M., Calvo R., et al.).
AI and
Digital Governance
AI and Digital Governance
- Data Imperialism: Disrupting Secondary Data in Platform Economies Through Participatory Regulation, 2020, SMU Centre for AI & Data Governance Research Paper No. 2020/06 (Findlay, M. and Seah, J.).
- The Fight for Digital Sovereignty: What It Is, and Why It Matters, Especially for the EU, 2020, Philos. Technol. 33: 369–378 (Floridi, L.).
- From open data to reverse PSI: a new European policy facing GDPR, 2020, European Public Mosaic, 11: 42-57 (Poullet, Y).
- Explaining machine learning reveals policy challenges, 2020, Science 368.6498: 1433-1434 (Coyle, Diane, and Adrian Weller).
- Machine Learning Explainability for External Stakeholders, 2020 arXiv preprint arXiv, 2007.05408 (Bhatt, Umang, Weller, A. et al.).
AI and
Ethics
AI and Ethics
- A choices framework for the responsible use of AI, 2020, AI and Ethics (Benjamins, R.).
- A Data-Driven Company: 21 lessons for large organizations to create value from AI, 2021, London: Lid Publishing, (Benjamins, R.).
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI, 2020, Information Fusion, 58, 82-115 (Arrieta, A. B., et al.).
- Responsible AI by design in practice, 2019, Proceedings of the Human-Centered AI: Trustworthiness of AI Models & Data (HAI) track at AAAI Fall Symposium (Benjamins, R., Barbado, A., and Sierra, D.).
- The myth of the algorithm, Tales and truths of Artificial Intelligence, 2020, Madrid: Anaya Multimedia (Benjamins, R., and Salazar, I.).
- Towards organizational guidelines for the responsible use of AI, 2020, 24th European Conference on Artificial Intelligence (Benjamins, R.).
- An Ecosystem Approach to Ethical AI and Data Use: Experimental reflections, 2020, SMU Centre for AI & Data Governance Research Paper No. 2020/03 (Findlay, M., and Seah, J.).
- How to Design AI for Social Good: Seven Essential Factors, 2020, Science and Engineering Ethics, 26: 1771-1796. (Floridi, L., et al.).
- The Ethics of the Ethics of AI, 2020, The Oxford Handbook of Ethics of AI (Powers, T., and Ganascia, J.).
- Ethique et droits de l’Homme dans notre société du numérique, 2020, Académie royale de Belgique (Poullet, Y.).
- Mapping Intelligence: Requirements and Possibilities, 2018, In: Müller V. (eds) Philosophy and Theory of Artificial Intelligence. PT-AI 2017. Studies in Applied Philosophy, Epistemology and Rational Ethics, 44. Springer, Cham. (Bhatnagar S., Price, H., et al.).
- Moral Machines, 2020, Ethics of Artificial Intelligence, 383 (Wallach, W., and Vallor, S.).
- Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting, 2016, Oxford University Press (Vallor, S.).
- Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning, 2020, Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES ’20). Association for Computing Machinery, New York, NY, USA, 372–377. (Smart, A., James, L., Hutchinson, B., Wu, S., and Vallor, S.).
- Blind Justice: Fairness with Encrypted Sensitive Attributes, 2018, Proceedings of the 35th International Conference on Machine Learning, in PMLR80: 2635-2644 (Kilbertus, N, Weller, A., et al.).
Cross-Cultural
AI
Cross-Cultural AI
- The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation, 2020. AI & Soc. (Roberts, H., Floridi, L. et al.).
- Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance, 2020, Philos. Technol. (ÓhÉigeartaigh, S., Zeng, Y., et al.).
Data Sets and
Use Cases
Data Sets and Use Cases
- #Data4COVID19: Living repository for data collaboratives seeking to address the spread of COVID-19
- Collective Intelligence Case Studies: Using collective intelligence to solve public problems
- Data Collaboratives: Creating public value by exchanging data