Ethical use of AI for Engineering & Product Development

Student på SSI
Copyright: USN

This seminar explores pitfalls and liabilities when using AI to support in engineering and product development. ​


27 Oct

Practical information

  • Date: 27 October 2026
  • Time: 08.30 - 15.30
  • Location: Kongsberg
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    The event includes exploration of use cases with sensitive technologies and participation is by invitation only.

​The seminar will anchor discussion in three real industry cases, addressing methodology, the boundary between tool and human judgement, and how AI has a duality in terms of emergence.​

​You will learn how to deal with ethically challenging questions and get lessons learned from peers to ensure value from AI.

WHO SHOULD ATTEND

Engineers, product developers, managers and leaders at SFI CELECT's industry partners who use AI or plan to. The seminar is also open to PhD candidates in CELECT and their supervisors.​

The day will be facilitated by USN's Ethics and AI experts, respectively:

Program

Introduction: «What is ethics?»

Case O: «On ethics and technology»

Case 1: Use of AI in product development across companies»

Case 2: «Use of AI agent  in Engineering to develop AI- enhanced systems»

Case 3: «Use of AI in Software»

Takeaway: «Moving forward»

WHAT YOU TAKE HOME

  • A method you can use on Monday

    A structured way to work through an ethical dilemma in a project. Decisions get made deliberately, not by gut feeling or left to the individual engineer.

  • Two tools, tested on real cases

    Two practical models for ethical reasoning, tried out in the room on the industry cases and ready for your own design reviews and decision gates.

  • Arguments that hold up

    The three classic ways to justify a decision: by its consequences, by duties and rules, and by professional character. Use them to explain and defend your choices to management, customers and authorities.

  • The EU framework without the fluff

    What the EU's principles for trustworthy AI actually ask of you, why they can never all be met at once, and how to avoid ethics washing.

  • Ahead of regulation

    Regulation lags behind the technology. Learn to make responsible calls in the grey zone where the rules don't yet give answers.

  • Lessons from peers

    Hear how other companies use AI in product development, and where they have run into trouble.