Artificial Intelligence (AI) is widely considered a generative technology that has the potential to have great impact on our society, economy, and ecology. Whether these impacts will be for worse or for better is up for discussion and depends on the actions of individuals, companies, and authorities worldwide towards the 17 UN Sustainable Development Goals.
Throughout the lecture series, students get familiar with concepts and theories that describe and explain AI companies, and learn about the design of Machine Learning-based applications. Do we need AI – or does AI solve our problems? What problems can machine learning effectively solve? What is the current impact of AI technologies on economy, society and ecology? How can we apply AI to a new domain or problem? What role do humans play in designing AI applications?
Building on fundamentals of information systems strategy and enterprise modeling, students reflect the impact of strategy and organizing in AI companies towards their ability to produce sustainable futures. We particularly investigate the generative capacity of data, tools, and (machine learning) models to produce such futures. Among others, we will cover the impact of biases in data and algorithms, explainability of AI applications, as well as accuracy, sovereignty, (inverse) scalability and framing of ML models. Throughout the entire module, we critically reflect impacts of managerial and algorithmic decision-making on sustainability, this includes impacts, for instance, on aspects of health and well-being (SDG 3), gender equality (SDG 5), or climate action (SDG 13).
Course Structure & Schedule
We will follow the schedule below throughout the course.
All sessions take place from 10:00 a.m. to 2:00 p.m.
Location is R09 R01 H02 .
Monday, April 20th, 2026 :
- (1) Fundamentals of “Artificial Intelligence”
- (2) Fundamentals of “Sustainability”
Friday, April 24th, 2026 :
- (3) AI & ML Techniques (un/supervised) & Numericals
Monday, April 27th, 2026 :
- (4) AI as Socio-technical System
- (5) Presentation of AI Founder
Monday, May 11th, 2026 :
- (6) Neural Networks & Numericals
Friday, May 15th, 2026 :
- (7) "Agentic AI" Workshop Day on n8n.io
Monday, May 25th, 2026 :
- (8) Building AI Ventures/Managing ML Projects
- (9) AI Agentic in work (session on tools)
Friday, May 29th, 2026 :
- (10) Generative Data
- (11) Sprint Meeting
Friday, June 12th, 2026 :
- (12) Sequential & Generative Modeling & Numericals
Monday, June 19th , 2026:
- (13) AI Hackathon Preparation + Actual Day
Friday, June 26th, 2026 :
- (14) Responsible AI
Final Presentation Day
- Friday, July 10, 2026 – Room R09R04H02 (Project Presentations)
Final Report Submission
- Friday, July 31, 2026
- verantwortliche Lehrperson: Mahnoor Shahid