Faculty Competency Development in Generative AI (2025–2027) 

CBS is launching a university-wide initiative to strengthen faculty (VIP and D-VIP) competencies in generative AI (AI). Anchored in CBS’ pedagogical principles and AI strategy and coordinated by Educational Development and Quality (EDQ), the initiative supports educators in navigating AI in academically grounded and responsible ways. 

The rollout begins with the Department of Marketing (MARKTG), followed by Department of Management, Society and Communication (MSC), Department of International Economics, Government and Business (EGB), Department of Digitalization (DIGI) and two additional departments in 2026. The remaining five departments will join in 2027.

Why a Faculty AI Competency Initiative?

AI is reshaping how knowledge is produced, assessed and applied in higher education. For CBS, this raises important questions about learning design, assessment formats, academic integrity, and disciplinary identity. 

Our ambition is that by 2030, every CBS educator feels confident making informed decisions about when and how to integrate AI – or when not to. 

AI Through the Disciplines – Not as an Add-On

AI competencies are developed within and through disciplines, not as a separate technical skillset. 

Each department works with EDQ to explore how AI affects: 

• Disciplinary knowledge and methods 

• Learning outcomes and constructive alignment 

• Assessment design and student AI use 

This ensures that AI integration is academically meaningful and context-sensitive. 

Development Goals (2025–2027) 

Over the next three years, the initiative focuses on four priorities: 

• Building foundational AI literacy across faculty 

• Supporting course and assessment redesign 

• Promoting responsible and ethical AI use 

• Strengthening AI-pedagogical leadership and peer learning 

How the Development Process Works 

The department-level process combines strategic dialogue, thematic workshops, and action learning in faculty’s own teaching practice. 

Faculty engage in: 

• Shared framing sessions and workshops 

• Applied experimentation in courses 

• Peer feedback and knowledge sharing 

The approach builds on CBS as a social learning space, where faculty learn collaboratively and contribute to shaping AI-integrated education together.