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Artificial intelligence (AI) offers major opportunities for businesses, public sector - and civil society organisations. But successful AI applications require more than technology alone. Organisations need to embed AI in their processes, decision-making, governance and day-to-day work.

UvA Economics and Business partners with organisations to support them in this development. We combine knowledge of AI with expertise in management, organisation studies and sector-specific challenges: from finance and healthcare to NGOs and government. As an independent knowledge partner, we connect science and practice. In doing so, we help organisations make well-considered choices and apply AI in a responsible, human-centred and effective way.

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Even in the age of AI, the best ideas still arise between people Interview with Roel Beetsma, Dean of UvA Economics and Business

3 challenges in AI adoption

1. AI skills and the future of work

AI is changing the way organisations work. Roles are evolving, new positions are emerging and collaboration between people and technology is becoming increasingly important. This calls for new knowledge and skills. We study how organisations can prepare professionals to work with AI. In doing so, we look not only at technical skills, but also at leadership, organisational change and the impact on work.

2. From AI pilot to scalable innovation

Many organisations are experimenting with AI, but struggle to scale AI solutions. Using our academic approach, we examine how AI applications align with business processes and sector-specific challenges. This provides a clearer understanding of what works, what is scalable and what is needed to implement AI solutions successfully.

3. Trustworthy AI and governance

Organisations need to be able to trust AI systems. This requires attention to transparency, privacy, oversight, regulation and data security. Using our academic expertise, we support organisations in designing appropriate AI governance: the agreements, roles and controls needed to manage risks and use AI responsibly.

Discover our AI experts

Our researchers regularly share insights and publications on AI and work, AI innovation and AI governance.

Prof. dr. S.I. (Ilker) Birbil

Explainable AI, AI optimization, AI for decision-making

Prof. dr. C.T. (Corine) Boon

Technology, AI & Analytics in HRM

Prof. dr. ir. D. (Dick) den Hertog

Explainable AI, AI-optimalisation, AI & Analytics for NGO’s

Prof. dr. S. (Sander) Klous

Agentic AI, AI in Audit, Audit of AI, Trustworthy Data Exchange, Sovereign AI, AI in Industry, AI & Entrepreneurship

Dr S. (Somendra) Narayan

AI-driven strategy and innovation, agentic AI systems, AI governance, responsible digital transformation

Prof. dr. S. (Stevan) Rudinac

Multimedia, computer vision, information retrieval, machine learning

Prof. dr. M. (Marc) Salomon

Data-driven decision-making, applying statistics and IT to business challenges

Prof. H.W. (Henk) Volberda

AI and the future of work, AI-driven innovation and strategy, barriers to AI adoption

Dr P.N. (Paul) van Vulpen

Digital sovereignty, technology governance, software ecosystems, digital platforms, decentralised IT systems

Dr. A.N. (Andrea) Weihrauch

Consumer behavior and perceptions of emerging technologies

Dr. I.M. (Inez) Zwetsloot

Data & AI challenges, business analytics, data science, responsible AI adoption for SMEs

Collaborate on AI challenges

Would you like to explore how AI can create value within your organisation? Our researchers work with companies, institutions and public authorities on challenges relating to AI adoption. Through projects, labs and challenges, we also connect organisations with students, researchers and new ideas.

Dr. M. (Mark) Siebert

Contact for collaboration