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2025/2026 KAN-CINTV2401U The Business Application of Generative AI
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| The Business Application of Generative AI |
Course information |
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| Language | English |
| Course ECTS | 7.5 ECTS |
| Type | Elective |
| Level | Full Degree Master |
| Duration | One Semester |
| Start time of the course | Autumn |
| Timetable | Course schedule will be posted at calendar.cbs.dk |
| Max. participants | 90 |
| Study board |
Study Board of Technology &
Digitalisation
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| Last updated on 17-02-2025 | |
Relevant links |
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| Description of activities | ||||||||||||||||||||||||
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Presentation(s):
Each student must prepare and present in class in groups of 3 - 4
people
Assignment(s):
At each of the eight lectures there will be multiple choice
questions available in Canvas that can only be answered if
physically present in class.
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| Course content, structure and pedagogical approach | ||||||||||||||||||||||||
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This course immerses students in the dynamic and rapid development of Generative Artificial Intelligence (GenAI). Since its launch in 2022 Gen AI is reshaping contemporary business practices. The course addresess foundamentals of GenAI concepts, including how LLMs (large language models) differ from traditional rule based AI and, critically examining their ethical and societal implications as well as hallucinations and biases.
The course begins with an exploration of fundamental Generative AI principles, setting the stage for a deeper examination of its transformative potential in modern business. As the course progresses, the focus shifts towards understanding the maturity of AI use in businesses through real-world case studies, providing tangible insights into optimizing operations.
The curriculum further explores the diverse business applications and models within the GenAI framework, showcasing the versatility of these technologies across various industries. A strategic examination of the intersection of GenAI and public companies highlights its potential and impact on corporate strategies and decision-making processes.
Where and how will Gen AI penetrate the business model canvas. How to predict and explain the diffusion and adoption of Gen AI across individuals and organizations. How will Gen AI mature in the organization. And build scenarios for how Gen AI will manfest itself and transform industries fx the consultancy, financial or legal industries. Similarily to the initial industrial revolutions.
The course also includes how AI can be applied in supply chain management, where students gain insights into how GenAI transforms logistics and transportation.
Some speculate that AI may lead to massive uneploymency and deskilling of the labour force. Is Gen AI a knowledge enhacing or knowledge destroying technology? The course addresses the impact of GenAI on the labor market, the course addresses the evolving relationship between AI technologies and the workforce, uncovering challenges and opportunities.
Legal, ethical, and regulatory considerations take center stage, delving into the intricacies of the EU AI Act and includes complex issues such as AI hallucinations and bias. Armed with this academic knowledge, students are prepared to navigate some of the legal landscapes that surrounds GenAI.
Finally, the course propels students into the future of GenAI in business, providing a forward-looking academic and practitioner perspective. Armed with a strategic understanding of the intersection between GenAI and business strategy, students are empowered to contribute to and thrive in a business landscape shaped by the dynamic forces of artificial intelligence. |
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| Research-based teaching | ||||||||||||||||||||||||
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CBS’ programmes and teaching are research-based. The following
types of research-based knowledge and research-like activities are
included in this course:
Research-based knowledge
Research-like activities
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| Description of the teaching methods | ||||||||||||||||||||||||
| Lectures by teachers and case presentations from practioners | ||||||||||||||||||||||||
| Feedback during the teaching period | ||||||||||||||||||||||||
| Each lecture starts with a recap of the previous lecture based on students' feedback. Thereafter a lecture on the topic, And often a guest presentation of a relevant case. | ||||||||||||||||||||||||
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| Expected literature | ||||||||||||||||||||||||
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van Giffen, Benjamin and Ludwig, Helmuth (2023) "How Siemens Democratized Artificial Intelligence," MIS Quarterly Executive: Vol. 22: Iss. 1, Article 3. Available at: https://aisel.aisnet.org/misqe/vol22/iss1/3
Schoormann, T., Strobel, G., Möller, F., Petrik, D., & Zschech, P. (2023). Artificial Intelligence for Sustainability—A Systematic Review of Information Systems Literature. Communications of the Association for Information Systems, 52, pp-pp. https://doi.org/10.17705/1CAIS.05209
Vainionpää, Fanny; Väyrynen, Karin; Lanamaki, Arto; and
Bhandari, Aayush, "A Review of Challenges and Critiques of the
European Artificial Intelligence Act (AIA)"
(2023). ICIS 2023 Proceedings. 14.
Carl Benedikt Frey and Michael Osborne on how AI benefits lower-skilled workers. The economist. https://www.economist.com/by-invitation/2023/09/18/carl-benedikt-frey-and-michael-osborne-on-how-ai-benefits-lower-skilled-workers
The economic potential of generative AI: The next productivity
frontier
What’s the future of generative AI? An early view in 15 charts
What every CEO should know about generative AI
5 steps to put healthcare on the AI fast-track. World Economic Forum. www.weforum.org
EU Artificial intelligence act. https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence
The Danish National Strategy for Artificial Intelligence. https://en.digst.dk/strategy/the-danish-national-strategy-for-artificial-intelligence/
The National Strategy for Digitalization. https://en.digst.dk/strategy/the-national-strategy-for-digitalisation/ |
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