Format: Intensive course (Blockseminar) - Full-day Friday and half-day Saturday
Description: This intensive, interactive seminar examines the social dimensions of human interaction with artificial intelligence (AI) systems. Students will explore how empirical methods can be used to investigate responsibility and accountability in AI-driven environments.
Key topics will include explainability, fairness, trust, and human-AI collaboration, with a focus on how these factors influence decision-making, user perceptions, and broader social and ethical considerations.
Participants will engage with real-world case studies and 'hot topics' in interdisciplinary research to critically analyse the challenges and opportunities for responsible AI design.
The seminar will address pressing questions about AI integration into critical sectors: What causes problems in AI systems, beyond the biased training data? How do we identify and address such biases? What happens when AI systems are not capable of tasks they claim to solve? How can humans be supported in detecting resulting inaccuracies? How can we assess alignment to governance and regulatory frameworks?
By the end of the course, students will have a deeper understanding of how AI systems shape, and are shaped by, human behaviour and societal expectations, equipping them with the tools to assess and contribute to more accountable AI development and governance.
Requirements:
- Deliver a presentation on a research paper and facilitate group discussion
- Actively participate in all interactive sessions and exercises
- Submit a final essay based on research findings and insights gained
Dates:
- Planning + Introduction Section (Online, Date TBA)
- Session 1: May 16 (Friday) & May 17 (Saturday)
- Session 2: June 20 (Friday) & June 21 (Saturday)
This seminar is taught in English and is open to anyone interested in the field, offering an interdisciplinary forum for acquiring and discussing sociotechnical perspectives, methods, and approaches.
The course aims to equip students with the knowledge and skills to participate in this rapidly developing landscape.
To Participate: To express interest, please email teach@compacctsys.net by April 5th
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