Course content
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.
See course description in course catalogue