Ethics of emerging technologies
HUM-333 / 2 credits
Teacher: Ienca Marcello
Language: English
Remark: Une seule inscription à un cours SHS+MGT autorisée. En cas d'inscriptions multiples elles seront toutes supprimées sans notification
Summary
This course examines key technological developments and challenges from an ethical and policy perspective. The primary aim of this course is to get students to think critically about the ethical-social dimensions of technology, taking into account both normative and applied ethics questions.
Content
Students will learn to critically analyze the social-ethical implications of emerging technologies such as artificial intelligence, neurotechnology, robotics, genetic editing, social computing, etc. They will also learn the methods and theoretical frameworks needed to conduct an ethical impact assessment of these technologies and, more generally, to make socially responsible use of emerging technologies in both clinical and research settings.
Keywords
ethics, bioethics, neuroethics, technology assessment, artificial intelligence, societal implications, technology policy, technology governance, science and society
Learning Prerequisites
Required courses
None
Important concepts to start the course
Curiosity, respect for other people's views, and willingness to change one's moral beliefs based on logic and evidence.
Learning Outcomes
By the end of the course, the student must be able to:
- Assess / Evaluate systematically the risk & benefits of a certain technological innovation in a certain domain of application.
- Discriminate the potential for unethical use or misuse of technology
- Assess / Evaluate technological innovation into a broader societal perspective which also takes into account its cultural impacts, issues of equity of distribution and access to knowledge, and on the rights of individuals
- Discuss considerations surrounding technological innovation in a global society.
- Anticipate ethically-aligned technological solutions
Transversal skills
- Communicate effectively with professionals from other disciplines.
- Respect relevant legal guidelines and ethical codes for the profession.
- Take feedback (critique) and respond in an appropriate manner.
Teaching methods
Lectures and interactive seminars
Expected student activities
- Analyse d'une étude de cas
Discussion de groupe
Évaluation des risques et des avantages
Simulation du Comité d'examen éthique
Courtes présentations
Assessment methods
- Group presentations
- Short essay
Supervision
Office hours | Yes |
Assistants | Yes |
Forum | No |
Resources
Bibliography
- Floridi, L. (2019). Establishing the rules for building trustworthy AI. Nature Machine Intelligence, 1(6), 261-262.
- Gebru, T. (2020). Race and gender. In The Oxford handbook of ethics of AI, 251-269.
- Greely, H. T. (2021). CRISPR People: The Science and Ethics of Editing Humans. MIT Press (extracts only).
- Ienca, M., & Andorno, R. (2017). Towards new human rights in the age of neuroscience and neurotechnology. Life sciences, society and policy, 13(1), 1-27.
- Ienca, M., Pollicino, O., Liguori, L., Andorno, R., & Stefanini, E. (2022). Cambridge Handbook of Information Technology, Life Sciences and Human Rights. Cambridge University Press (selected chapters).
- Jonas, H. (1982). Technology as a Subject for Ethics. Social Research, 891-898.
- Levy, N. (2007). Neuroethics: Challenges for the 21st century. Cambridge University Press (extracts only).
- Sandel, M. J. (2007). The case against perfection: Ethics in the age of genetic engineering. Harvard university press (extracts only).
- Savulescu, J., & Bostrom, N. (Eds.). (2009). Human enhancement. OUP Oxford (selected chapters).
- Susser, D., Roessler, B., & Nissenbaum, H. (2019). Online manipulation: Hidden influences in a digital world. Geo. L. Tech. Rev., 4, 1.
- Tegmark, M. (2017). Life 3.0: Being human in the age of artificial intelligence. Knopf (extracts only).
- Veliz, C. (2020). Privacy is power. Random House Australia (extracts only).
- Zou, J., & Schiebinger, L. (2018). AI can be sexist and racist: it's time to make it fair. Nature.
- Zuboff, S. (2015). Big other: surveillance capitalism and the prospects of an information civilization. Journal of information technology, 30(1), 75-89.
Ressources en bibliothèque
- Gebru, T. (2020). Race and gender. In The Oxford handbook of ethics of AI
- Greely, H. T. (2021). CRISPR People: The Science and Ethics of Editing Humans
- Ienca, M., & Andorno, R. (2017). Towards new human rights in the age of neuroscience and neurotechnology
- Ienca, M., Pollicino, O., Liguori, L., Andorno, R., & Stefanini, E. (2022). Cambridge Handbook of Information Technology, Life Sciences and Human Rights
- Levy, N. (2007). Neuroethics: Challenges for the 21st century
- Sandel, M. J. (2007). The case against perfection: Ethics in the age of genetic engineering
- Savulescu, J., & Bostrom, N. (Eds.). (2009). Human enhancement
- Tegmark, M. (2017). Life 3.0: Being human in the age of artificial intelligence
- Veliz, C. (2020). Privacy is power
- Zou, J., & Schiebinger, L. (2018). AI can be sexist and racist: it's time to make it fair.
In the programs
- Semester: Fall
- Number of places: 80
- Exam form: During the semester (winter session)
- Subject examined: Ethics of emerging technologies
- Lecture: 2 Hour(s) per week x 14 weeks
- Semester: Fall
- Number of places: 80
- Exam form: During the semester (winter session)
- Subject examined: Ethics of emerging technologies
- Lecture: 2 Hour(s) per week x 14 weeks
- Semester: Fall
- Number of places: 80
- Exam form: During the semester (winter session)
- Subject examined: Ethics of emerging technologies
- Lecture: 2 Hour(s) per week x 14 weeks
Reference week
Mo | Tu | We | Th | Fr | |
8-9 | |||||
9-10 | |||||
10-11 | |||||
11-12 | |||||
12-13 | |||||
13-14 | |||||
14-15 | |||||
15-16 | |||||
16-17 | |||||
17-18 | |||||
18-19 | |||||
19-20 | |||||
20-21 | |||||
21-22 |
Légendes:
Lecture
Exercise, TP
Project, other