Course content
Throughout the course, participants are expected to critically reflect on the role of AI in the changing nature and future of work, both in terms of the opportunities and challenges accompanying new digital work practices as well as the potential consequences brought about by AI integration in work practices at different levels of analyses (e.g., at individual, group or organizational level).
Knowledge work continues to develop and evolve though widespread adoption of AI. The advent of AI has further accelerated the transition to digital work practices and brought new forms of Human-AI collaboration. By harnessing the capabilities of AI technologies, digital work practices are integrating AI in work processes in multi-faceted ways considering AI even as a co-worker. This is relevant for high-skilled knowledge workers in different fields of activity including creative, financial, and service industries.
This course is targeted at students and professionals interested in learning about the opportunities and challenges associated with the changing nature and future of work empowered by AI. The course focuses on how digital technologies (e.g., artificial intelligence, algorithmic management) are leveraged to support collaboration and innovation within cultural and institutional contexts as well as the consequences, intended or otherwise, stemming from their usage. Additionally, we will deliberate on the role of leadership and its associated strategies for managing the future of work alongside the Sustainable Development Goals (SDGs) being implemented by organizations.
The course will offer a fundamental coverage of the following topics:
- Opportunities and challenges associated with new work practices involving AI
- Introduction to AI and the role of AI as a digital technology in facilitating or hindering knowledge work
- Implication of new work practices on knowledge flows, group work and innovation
- Dynamics of managing digital work practices using AI for collaboration, competitiveness and/or innovation
- Influence of leadership and cultural conditions on adoption of AI enhanced work practices
See course description in course catalogue