UNU-MERIT, ITU Academy Training Centre

UNU-MERIT is an ITU Academy Training Centre, as part of the International Telecommunications Union’s (ITU’s) Academy Training Centre programme. This programme takes the ITU’s capacity development work forward into the future. It will directly contribute to building knowledge and skills among professionals in the ICT field, thus enabling them to contribute to – and fully participate in – the digital transformation.

ITU Academy Training Centres (ATCs) are internationally recognised institutions offering high-quality training to intermediate and senior personnel, with a focus on the needs of developing countries. ATCs are the core capacity development partners of the ITU, delivering first-rate courses that address the most important training topics, as identified by ITU’s membership.

Course Offering

In the framework of the ITU Academy Training Centre, UNU-MERIT is offering a fully online course this spring, details below:

Governance of AI

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Course dates: 19 March-06 May 2024

Application deadline extended to 1st March 2024

The disruptive technology of artificial intelligence (AI) shapes human lives and transforms societies. Artificial Intelligence systems increasingly assist and even replace human decisions in military, judicial, policing, healthcare, transport, financial, education, or social protection fields. As artificial intelligence (AI) technologies spread worldwide, international, national, and transnational discussions have increasingly focused on their consequences.
The regulation of AI technologies has recently become a worldwide priority, given the unintended and unpredictable consequences of the uncontrolled diffusion of AI related to democracy, human rights, fundamental freedoms, security, and economic and social development. Different international and national governance frameworks were developed in international and national areas.

The course introduces the foundations for understanding the complexity of AI governance by introducing the ethical, normative, stakeholders and technical dimensions. Each dimension reflects different challenges and dilemmas of designing AI governance structures, which will explore the benefits and limit the threat of this technology to society, the economy and functioning governance systems. The four modules of the course will equip participants with practical knowledge and tools to navigate the complex landscape of AI governance.


For further details on the course and information on how to apply, please follow this link to the ITU Academy website. You will need to apply through the ITU website.

The course is open for applications from all interested professionals, irrespective of their race, ethnicity, age, gender, religion, economic status and other diverse backgrounds. We strongly encourage registrations from female applicants, and applicants from developing countries (includes least developed countries, small island developing states, landlocked developing countries).



Payment details
Once you have applied to the course and have been accepted, you will need to secure a spot in the training by payment through bank transfer. This transfer is required before your spot can be confirmed. Please find here below the payment details:
– IBAN NL05 INGB 0657 618705
– Swift or BIC code: INGBNL2A
– Beneficiary: Maastricht University
– Bank name: ING Business Banking
– Bank address: P.O. Box 1800 1000 BV Amsterdam, The Netherlands
– Payment specification/reference: [your last name] 45320004240N

Once you have applied through the ITU website, and payment is received by UNU-MERIT, you will receive further details on how to access the course.


If you have any questions, please reach out to UNU-MERIT’s Capacity Development Office: cdo@merit.unu.edu


  • Terms and Conditions

    Please notice that the course follows the Terms and Conditions from the ITU Academy.

    Please note the, in addition, the following UNU-MERIT terms apply:

    Terms for cancellation

    • Cancellation is possible with full reimbursement minus 100 euro registration fee, up to the deadline of registration.
    • Reimbursement of 50 percent of the tuition, up to 2 working days before the start of the course.
    • No reimbursement of tuition if cancelled within 2 working days before start of the course or after the programme started.
    • Course offerings are confirmed if minimal number of participants are signed up. In case this number is not reached, the CDO team will reach out and communicate options for rescheduling, within a week after the deadline.
  • Previous courses

    Economics of Innovation, Autumn 2023

    The course aims at providing an introduction to the main theoretical and empirical issues surrounding the economic analysis of innovation. In particular, the course will discuss how innovation emerges in modern economies and how it interacts with the dynamics and evolution of sectors. The course will examine alternative ways of conceptualizing innovation; the sources and procedures of innovation; the relationship between market structure and innovation; the trade-offs and dilemmas in terms of strategy and social welfare which characterize innovative environments. This course is an introductory course to students with a limited background in the innovation studies tradition. It uses simple micr oeconomic and industrial organization models as well as empirical and historical evidence on the evolution of industries and case studies.


[Image credits: Photo by Samantha Borges on Unsplash]