Artificial Intelligence (AI) is a field of rapid innovation and set to fundamentally transform numerous domains. In this context, we are confronted with significant ethical challenges, for example with respect to issues like fairness, bias, autonomy, disinformation, sustainability, safety, and human-machine interaction. In this Challenge, participating students practically explore how innovation in AI development can be aligned with ethical standards. The focus on ethical AI innovation is especially well-suited to CBL, as it involves complex sociotechnical questions that demand creative, experimental, and interdisciplinary thinking and collaboration. The Challenge also provides insights into the functioning of AI, with a special focus on generative models, and conveys important concepts and frameworks from inclusive design theory, innovation theory, and technology ethics. By interacting with a diverse set of external stakeholders, students gain insights into different domains and industries.
Ethical Innovation and Artificial Intelligence
Ethical Innovation and Artificial Intelligence
Our Challenge
Artificial Intelligence (AI) is a field of rapid innovation and set to fundamentally transform numerous domains. In this context, we are confronted with significant ethical challenges, for example with respect to issues like fairness, bias, autonomy, disinformation, sustainability, safety, and human-machine interaction. In this Challenge, participating students practically explore how innovation in AI development can be aligned with ethical standards. The focus on ethical AI innovation is especially well-suited to CBL, as it involves complex sociotechnical questions that demand creative, experimental, and interdisciplinary thinking and collaboration. The Challenge also provides insights into the functioning of AI, with a special focus on generative models, and conveys important concepts and frameworks from inclusive design theory, innovation theory, and technology ethics. By interacting with a diverse set of external stakeholders, students gain insights into different domains and industries.
The Team
- Study format
- Hybrid
- Application period
- 14 August – 28 September 2025
- Study period
- 20 October 2025 – 30 January 2026
- Credits
- 3 ECTS
- Hosting university
- Hamburg University of Technology
Learning outcomes
Possibilities and limits of AI
By the end of the Challenge learners will gain an understanding of key possibilities and limits of AI for ethical decision making (as for autonomous vehicles or robots).
ESCO SKILLS
Soft skills relating to interdisciplinary and international collaboration
By the end of the Challenge learners will cultivate soft skills relating to interdisciplinary and international collaboration, critical thinking, communication, ideation, and collective creativity.
ESCO SKILLS
Think holistically about ethical decision making
By the end of the Challenge learners will be able to bridge the gap between theory and practice by applying learned innovation methods to real-world challenges, thereby gaining a practical understanding of ethical concepts. Additionally, students will develop skills in analysing and synthesising scientific research related to ethical decision making, leading to a broader and deeper understanding of the field.
ESCO SKILLS
Potential progress
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Information
Artificial Intelligence (AI) is a field of rapid innovation and set to fundamentally transform numerous domains. In this context, we are confronted with significant ethical challenges, for example with respect to issues like fairness, bias, autonomy, disinformation, sustainability, safety, and human-machine interaction. In this Challenge, participating students practically explore how innovation in AI development can be aligned with ethical standards. The focus on ethical AI innovation is especially well-suited to CBL, as it involves complex sociotechnical questions that demand creative, experimental, and interdisciplinary thinking and collaboration. The Challenge also provides insights into the functioning of AI, with a special focus on generative models, and conveys important concepts and frameworks from inclusive design theory, innovation theory, and technology ethics. By interacting with a diverse set of external stakeholders, students gain insights into different domains and industries.
Hosting university
Hamburg University of Technology
