- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
(in Polish) Etyczne i prawne wyzwania rozwoju sztucznej inteligencji 3700-AL-EPW-OG
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Type of course
Prerequisites (description)
Course coordinators
Bibliography
1. M. Coeckelbergh, AI Ethics, MIT Press: 2020; rozdz. 4: Just Machines?, rozdz. 5: The Technology.
2. L. Floridi, M. Taddeo, 2016. What is data ethics?, Philosophical Transactions of Royal Society A, 374, 20160360.
3. A. Zwitter, 2014. Big Data ethics. Big Data & Society, 1(2).
4. J. Turner, Robot Rules. Regulating Artificial Intelligence, Palgrave Macmillan: 2019; rozdz. 6: Building a Regulator
5. P. Lin, Why ethics matters for autonomous cars, w: Maurer, M., Gerdes, J., Lenz, B., Winner, H. (Eds.). Autonomes Fahren, Springer Vieweg: 2015, pp. 69–85.
6. DiMatteo, L. (2022). Artificial Intelligence: The Promise of Disruption. In L. DiMatteo, C. Poncibò, & M. Cannarsa (Eds.), The Cambridge Handbook of Artificial Intelligence: Global Perspectives on Law and Ethics (Cambridge Law Handbooks, pp. 3-17). Cambridge: Cambridge University Press.
7. Jobin, A., Ienca, M. & Vayena, E. The global landscape of AI ethics guidelines. Nature Machine Intelligence 1, 389–399 (2019).
8. Rabia Tehseen, Uzma Omer, Muhammad Shoaib Farooq, and Ayesha Saddiqua, Ethical Guidelines for Artificial Intelligence: A Systematic Literature Review. VFAST Transactions on Software Engineering, Vol. 9, No. 3, 2021, pp: 33-47.
9. Reinhardt, K. Trust and trustworthiness in AI ethics. AI Ethics (2022).
10. Floridi L., Cowls, J. 2019. A unified framework of five principles for AI in society, Harvard Data Science Review, Issue 1.
11. Floridi L. 2019. Translating principles into practices of digital ethics: five risks of being unethical. Philosophy & Technology, Vol. 32, Issue 2, pp. 185–193.
12. Diakopoulos, N. 2020. Transparency. In: Dubber M. D., Pasquale, F., Das, S. (Eds.). The Oxford Handbook of Ethics of AI, Oxford University Press, pp. 197–213.
13. V. Dignum, Responsibility and Artificial Intelligence, w: Markus D. Dubber, Frank Pasquale, Sunit Das, ed. The Oxford Handbook of Ethics of AI, Oxford University Press: 2020.
14. Heather M. Roff, The folly of trolleys: Ethical challenges and autonomous vehicles: https://www.brookings.edu/research/the-folly-of-trolleys-ethical-challenges-and-autonomous-vehicles/
15. Anderson M., Anderson S.L., Robot be good. "Scientific American". 2010 Oct; 303(4): 72-77
16. D. Leben, Ethics for Robots: How to Design a Moral Algorithm, Routledge: 2018, rozdz. 5: Ethics engines.
17. E. Davis, Ethical guidelines for a superintelligence, Artificial Intelligence, Volume 220, March 2015, pp. 121-124
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: