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227-0813-00L 3 Credits BSC , MSC D-MTEC , D-ITET

Responsible AI in the Age of Intelligent Systems: Safety, Governance & Value Creation for Deep Tech

Lecturers & Examiners: Dr. Krishnaswamy Sankaran

VVZ CR n/a

Last Updated: 2026-06-03 00:07:42

Abstract

The seminar sits at a distinctive intersection that no other ETH Zürich programme currently occupies:AI Safety and Governance as a design constraint, not a compliance afterthoughtValue creation frameworks applied to deep tech domains: energy systems, signal processing, photonics, hardware and semiconductor supply chainsStrategic communication — how engineers translate technical ideas

Objective

Upon completion, students will be able to: Critically evaluate AI opportunities and risks within D-ITET core domains — energy systems, signal processing, photonics, communications hardware, and supply chains Apply AI safety and governance frameworks (EU AI Act, International AI Safety Report 2026, Swiss regulatory context) as integral engineering constraints, not retrospective compliance exercises Conduct structured risk audits and red-teaming exercises on AI-embedded physical systems Map technical ideas to responsible deployment pathways — from prototype to policy-ready product Articulate technical value propositions to non-technical audiences: investors, regulators, and public bodies Produce a concise discussion paper synthesising their chosen angle on AI safety, governance or value creation in a D-ITET-relevant domain

General Information

Language: English
Levels: BSC , MSC
Frequency: Yearly recurring

Examination

Type: graded semester performance

No written examination. Assessment is performance- and output-based, rewarding intellectual engagement and rigorous synthesis. Attendance across all 4 days is mandatory. The Seminar Paper is the primary long-form deliverable; students or groups may choose any topic within the seminar’s themes and develop their own line of argument.

Registration & Places

Max Places: 25

Course Components

Type	Title	Time & Place	Hours
lecture with exercise	Responsible AI in the Age of Intelligent Systems: Safety, Governance & Value Creation for Deep Tech	No time listed	30 h semesterly

Offered In

Electrical Engineering and Information Technology Bachelor
- Electives (This is only a small selection. Other courses from the ETH course catalogue may be chosen. Please consult the "Richtlinien zu Projekten, Praktika, Seminare" (German only), ).)
  - Man-Technology-Environment Electives ("MTU")
Management, Technology and Economics Master (Welcome and Introduction to MSc ETH MTEC 14 September 2026, 14.00 - 16.15, Room HG E 1.1)
- Elective Courses
  - Systems Design and Risks
Electrical Engineering and Information Technology Master
- 01 - Courses of specializations
  - Tracks (all): Electives (This is only a short selection. Other courses from the ETH course catalogue may be chosen in agreement with your tutor. As an alternative to the elective courses, students may do a second semester project or an internship in industry. Please consult your tutor.)