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Human-AI-Collaboration (IEL-B-3+5-WPM-IEL)
Department
- Bachelor's program Management & Law
Course unit code
- IEL-B-3+5-WPM-IEL
Level of course unit
- Bachelor
Year of study
- Fall 2024
Semester when the course unit is delivered
- 5
Number of ECTS credits allocated
- 5.0
Name of lecturer(s)
- FH-Prof. Dr. Schneider Sabrina
Learning outcomes of the course unit
- Gain an understanding of the different roles “intelligent” technologies can take (augmentation vs. automation)
Critically reflect upon consequences of technological advancement in the field of AI on individuals, business, and society
Learn how to use digital, AI-enabled support in a responsible and transparent manner
Mode of delivery
- face-to-face/optional online
Recommended optional program components
- none
Course contents
- Forms of artificial intelligence (AI) and AI-enabled support
AI-enabled human augmentation vs. automation
Agency of AI
Trust in AI
Future of work/ Biohacking
Ethical consequences of AI
Recommended or required reading
- Acar, O.A. (2023). AI prompt engineering ist't the future, Harvard Business Review Digital Articles, June 6th, 2023.
Anthony, C. Bechky, B.A., Fayard, A.-L. (2023). "Collaborating" with AI: Taking a systematic view to ex-plore the future of work, Organization Science, https://doi.org/10.1287/orsc.2022.1651.
Baiyere, A., Schneider, S., & Stein, M-K. (2023). Digital Work: A Conceptual Clarification. In T. X. Bui (Ed.), Proceedings of the 56th Hawaii International Conference on System Sciences (pp. 4588-4597). Hawaii International Conference on System Sciences (HICSS). https://doi.org/10125/103192
Berente, N., Gu, B., Recker, J. Santhanam, R. (2021). Managing artificial intelligence, MIS Quarterly, 45 (3), 1433-1450.
Bouschery, S.G., Blazevic, V., Piller, F.T. (2023). Augmenting human innovation teams with artificial in-telligence: Exploring transformer-based language models, Journal of Product Innovation Manage-ment. https://doi.org/10.1111/jpim.12656
Dondi, M., Klier, J., Panier, F., Schubert, J. (2021). Defining the skills citizens will need in the future world of work, June 25, 2021, McKinsey & Company, https://www.mckinsey.com/industries/public-and-social-sector/our-insights/defining-the-skills-citizens-will-need-in-the-future-world-of-work#/
Frey, C.B., Osborne, M.A. (2017). The future of employment: How susceptible are jobs to computerisa-tion? Technological Forecasting and Social Change, 114, 254-280.
Glikson, E., Williams Woolley, A. (2020) Human trust in artificial intelligence: Review of empirical re-search, Academy of Management Annals, 14(2), 627-660.
Jarrahi, M.H., Monahan, K., Leonardi, P. (2023). What will working with AI really require?, Harvard Business Review Digital Articles, June 8th, 2023.
Kemp, A. (2023). Competitive advantage through artificial intelligence: Toward a theory of situated AI, Academy of Management Review, published online April 27, 2023. https://doi.org/10.5465/amr.2020.0205
Kokshagina, O., & Schneider, S. (2023). The Digital Workplace: Navigating in a Jungle of Paradoxical Tensions. California Management Review, 65(2), 129-155. https://doi.org/10.1177/00081256221137720
Malone, T.W., Rus, D., Laubacher, R. (2020). Artificial Intelligence and the future of work, MIT Research Brief , 17, December 2020. https://workofthefuture.mit.edu/research-post/artificial-intelligence-and-the-future-of-work/
Manyika, J., and Sneader, K. (2018). AI, Automation, and the Future of Work: Ten Things to Solve For, McKinsey Global Institute.
Montealegre, R., Cascio, W.F. (2017) Technology-driven changes in work and employment, Communications of the ACM, 60(12), 60-67.
O'Reilly, T. (2016). Managing the bots that are managing the business. MIT Sloan Management Review, 58(1), 3-4.
Reeves, M. & Ueda, D. (2016) Designing the match that will design strategy, Harvard Business Review Web Article, 18.04.2016/ BCG.
Further literature recommendations will be provided in class.Will be provided in class.
Planned learning activities and teaching methods
- On-campus.
Language of instruction
- English
Work placement(s)
- none