Artificial intelligence and the future of work


room  V2002, Aalto University School of Business, Otaniemi (address:  Ekonominaukio 1)


Registration is open until March 22. 


Professor Joe Nandhakumar, Warwick Business School, UK

Professor Matti Rossi, Aalto University


Artificial intelligence (AI) is increasingly common and important across multiple domains of work, transforming the way businesses operate, the products and services they offer, and the interactions between individuals and society. AI is used in areas such as healthcare, finance, transportation, education, customer service, manufacturing, music composition, and farm crop management, among others. For example, in healthcare, AI is used for diagnosis, drug discovery, and personalized medicine. In finance, AI is used for fraud detection, risk assessment, and algorithmic trading. In transportation, AI is used for autonomous vehicles, traffic prediction, and logistics optimization. In customer service, AI is being used for chatbots, virtual assistants, and recommendation systems. In manufacturing, AI is being used for predictive maintenance, quality control, and process optimization. The benefits of AI are clear, including improved efficiency, accuracy, and productivity, as well as the ability to process and analyze vast amounts of data. However, AI also raises ethical and social concerns, such as job displacement, bias, and privacy. As AI becomes more integrated into our lives, this also opens more opportunities for scholarly research to explore these concerns and implications.

In this workshop, we will first review the ongoing research in AI in the multiple domains of work and then discuss and work together to develop research themes on AI and the future of work.

Detailed Program


10:15 – 12:00

  • Introduction and welcome
  • Future of Work with AI, Joe Nandhakumar 

13:00 – 14:00

  • Dark sides of AI at work, Matti Rossi

14:30 - 17

  • Exercise: AI in the future of work (in groups)


  • Social hour


09:00 – 10:30

  • Key Challenges of Developing Machine Learning AI Systems for Knowledge-Intensive Work, Joe Nandhakumar

10:30 – 11:30

  • Finalizing presentations and lunch/coffee

11:30 – 12:30

  • Short presentations of group work status 

12:30 – 13:00

  • Summary, returning final group work and concluding remarks, Matti Rossi



Zhang, Z, Nandhakumar, J; Hummel, J; and Waardenburg, L (2020) "Addressing the Key Challenges of Developing Machine Learning AI Systems for Knowledge-Intensive Work," MIS Quarterly Executive: Vol. 19: Iss. 4, Article 5.  Available at:

Waardenburg, L., Huysman, M. and Sergeeva, A.V., 2022. In the land of the blind, the one-eyed man is king: Knowledge brokerage in the age of learning algorithms. Organization science33(1), pp.59-82.

Lebovitz S., and Levina N. Lifshitz-Assaf H. (2021), Is AI ground truth really "true"? The dangers of training and evaluating AI tools based on experts' know-what, MIS Quarterly, 45(3), 1501-1526.

Lebovitz S., Lifshitz-Assaf H., and Levina N. (2022) To engage or not to engage AI for critical judgments: The importance of ambiguity in professionals' judgment process, Organization Science. 33(1):126-14

Anthony C. Bechky B, and Fayard A.L. 2023."Collaborating" with AI: Taking a System View to Explore the Future of Work. Organization Science.

Faraj, S. S Pachidi, K Sayegh. 2018. Working and organizing in the age of the learning algorithm, Information and Organization 28 (1), 62-70

More readings will be provided later.

Credit points

Doctoral students participating in the seminar can obtain 2 credit points. This requires participating and completing the assignment. Instructions for the assignment will be given at the seminar.

Registration fee

This seminar is free-of-charge for member organization's staff and their PhD students. For others the participation fee is 400 €. The participation fee includes access to the event and the event materials. Lunch and dinner are not included.