Agenda 2023
Thursday, October 26, 2023
| Morning | Welcome Address & Presentations |
| Welcome Address | Introduction and Welcome: Prof. Dr. Helmut Krcmar |
| Topic | Future of Learning: (Im)personalized? |
| Presentation 1 | Dr. Lulu Shi (Oxford) – Augmented Learning or Automated Control? Revealing the Functions, Features, and Skills Affected by AI-based EdTech |
| Presentation 2 | Prof. Mrinmaya Sachan (ETH Z) – Towards a more Literate AI, and AI powered Learning Technologies |
| Presentation 3 | Dr. April Wang (ETH Z) – Enhancing Programming Tools: Opportunities for Supporting AI and Data Science Learners |
| Topic | How “Strong” Should AI Become? |
| Presentation 1 | Prof. Chris Russell (Oxford) – Levelling down in Algorithmic Fairness |
| Presentation 2 | Prof. Vili Lehdonvirta (Oxford) – Cloud empires’ physical footprint: How trade and security politics shape the global expansion of US and Chinese data centre infrastructures |
| Presentation 3 | Prof. Dr. Carsten Trinitis (TUM) – Ethical Considerations for AI |
| Afternoon | Presentations |
| Topic | AI from a Manager’s Perspective |
| Presentation 1 | Prof. Dr. Sebastian Müller (TUM) – Global Business Networks |
| Presentation 2 | Prof. Dr. Stefanie Jung and Nikita Rolsing (TUM) – Director‘s internal liability and artificial intelligence – rights and obligations when using artificial intelligence |
| Topic | AI Driving the Future of Work |
| Presentation 1 | Matthias Miller (ETH Z) – Interactive Visualization & Intelligence Augmentation: Bridging Human and Artificial Intelligence |
| Presentation 2 | Leon Bein and Prof. Dr. Luise Pufahl (TUM) – Promises of AI-augmented Business Process Automation Systems |
| Presentation 3 | Prof. Greg Taylor (Oxford) – Data-driven mergers |
| Presentation 4 | Prof. Dr. Jens Förderer and Johannes Gölz (TUM) – Exploring the Economic Impact of Large Language Models on Digital Platforms: An Empirical Investigation of YouTube’s Smart Replies |
| Evening | Dinner |
Friday, October 27, 2023
| Morning | Presentations |
| Topic | (Re/Up/Cross)Skilling for AI? |
| Presentation 1 | Prof. Dr. Philipp Lergetporer (TUM) – Automatability of occupations, workers’ labor-market expectations, and willingness to train |
| Presentation 2 | Dr. Fabian Stephany (Oxford) – What is the Price of a Skill? The Role of Complementarity |
| Presentation 3 | Dr. Christina Langer (Stanford) – The Value of Early-Career Skills |
| Topic | Future of Government |
| Presentation 1 | Hubert Au (Oxford) – Leveraging AI for Fact-Checking: Surfacing Check-Worthy Claims on TikTok and in Parliament |
| Presentation 2 | Kit Tod Rodolfa, PhD (Stanford) – Unbreaking Bureaucracy: RegLab and the Future of Government |
| Afternoon | Company Visit |
| Welcome Adress | Fred Schulze, Plant Manager Audi Neckarsulm & Supervisory Board Member, AUDI AG |
| Guided Tour | Audi Body Shop |
| Evening | Dinner |
Saturday, October 28, 2023
| Morning | Presentations |
| Topic | Future Developments in AI |
| Presentation 1 | Prof. Dr. Amr Alanwar (TUM) – Safety Guaranteed Reinforcement Learning Using Data-Driven Reachability Analysis |
| Presentation 2 | Chen Shani (HUJI) – Computational Humor is No Joke |
| Topic | Topic AI as a Driver of Scientific Insight |
| Presentation 1 | Elizaveta Chernenko (Oxford) – Outgroup Dehumanisation in Telegram – language representation and the role of ingroup identity |
| Presentation 2 | Alina Hafner (TUM) – Unveiling the Scientific Approach to Entrepreneurial Decision-Making: An NLP Study of Entrepreneurial Language Patterns |
| Presentation 3 | Dr. Fabian Braesemann (Oxford) – The impact of Founder Personalities on Startup Success |
| Wrap up & Outro | Prof. Dr. Helmut Krcmar |
