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Digital Society: Ethical, Societal and Economic Challenges
Last Updated: 2026-06-01 11:33:17
Abstract
This seminar will address ethical challenges coming along with new digital technologies such as cloud computing, Big Data, artificial intelligence, cognitive computing, quantum computing, robots, drones, Internet of Things, virtual reality, blockchain technology, and more.
Objective
Participants shall learn to understand that any technology implies not only opportunities but also risks. It is important to understand these well in order to minimize the risks and maximize the benefits. In some cases, it is highly non-trivial to identify and avoid undesired side effects of technologies. The seminar will sharpen the attention how to design technologies for values, also called value-sensitive design or ethically aligned design.
Content
For the upcoming spring semester 2025, we have curated a lineup of experts from academia and industry who will provide different perspectives and insights into ethical challenges. Speakers Schedule: 17.02 - Dirk Helbing (ETH Zürich) 24.02 - Mira Luca Wolf Bauwnes (IBM Zurich) 03.03 - Carina I Hausladen (ETH Zürich) 10.03 - Thilo Hagendorff (University of Stuttgart) 17.03 - Vero Estrada-Galiñanes (EPFL) 24.03 - Marcello Ienca (TU Munich) 31.03 - Oana Inel (UZH) Student Presentations: 07.04, 14.04, 05.05, 12.05, 19.05, 26.05 Students will have the opportunity to present their own research and perspectives on technological ethics More details will be provided on Moodle.
Resources
Lecture Notes
Will be provided on Moodle.
Literature
Ethically Aligned Design Version 1: Link Version 2: Link Value-Sensitive Design Link Handbook of Ethics, Values and Technological Design Link Thinking Ahead https://www.springer.com/gp/book/9783319150772 Towards Digital Enlightenment https://link.springer.com/book/10.1007/978-3-319-90869-4 Künstliche Intelligenz und Maschinisierung des Menschen Link Move Fast and Break Things: How Facebook, Google, and Amazon Cornered Culture and Undermined Democracy (J Taplin) Link How Humans Judge Machines https://www.amazon.co.uk/Humans-Judge-Machines-Cesar-Hidalgo/dp/0262045524/ Ethics of smart cities https://www.mdpi.com/2071-1050/13/20/11162 The ethics of AI in health care: a mapping review https://www.sciencedirect.com/science/article/pii/S0277953620303919 Soft Ethics and the Governance of the Digital https://link.springer.com/article/10.1007/s13347-018-0303-9 The Ethics of AI Ethics: An Evaluation of Guidelines https://link.springer.com/article/10.1007/s11023-020-09517-8 Principles of robotics: regulating robots in the real world https://www.tandfonline.com/doi/full/10.1080/09540091.2016.1271400 The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation https://arxiv.org/abs/1802.07228 Will Democracy Survive Big Data and Artificial Intelligence? https://link.springer.com/chapter/10.1007/978-3-319-90869-4_7 Further literature will be recommended in the lectures.
General Information
- Language
- English
- Levels
- DR , DS , MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Registration & Places
- Max Places
- 30
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Digital Society: Ethical, Societal and Economic Challenges |
|
2 h weekly |
Offered In
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Wissenschaft im Kontext (Science in Perspective) (In Kursen aus dem Programm “Wissenschaft im Kontext” lernen Studierende, die MINT Fächer der ETH aus der Perspektive der Geistes-, Sozial- und Staatswissenschaften zu reflektieren. Nur die in diesem Abschnitt aufgelisteten Fächer können als "Wissenschaft im Kontext" angerechnet werden.)
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Typ A: Förderung allgemeiner Reflexionskompetenz (WiK-Kurse werden für Bachelorstudierende nach dem ersten Studienjahr sowie für alle Masterstudierende und Doktorierende empfohlen. Alle WiK-Kurse sind in Typ A gelistet. Bei den unter Typ B aufgeführten Kursen handelt es sich lediglich um Belegungsempfehlungen für bestimmte Departemente.)
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Typ B: Reflexion über fachspezifische Methoden und Inhalte (Fachspezifische Lerneinheiten. Relevant für alle Studierenden, die sich für diese Kurse interessieren. Diese Lerneinheiten sind alle auch unter "Typ A" aufgelistet, d.h. die Einschreibung ist allen Studierenden möglich.)
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Doktorat Biologie (Mehr Informationen unter: )
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