Page 50 - DGHR PR REPORT - APRIL 2025

4/24/25, 10:10 AM Generative AI Adoption Amongst Dubai Government Employees Report Published At Dubai AI Week
Furthermore, while most respondents (83%) identify the positive impact of introducing
ethical guidelines for generative AI use on work, four out of ten employees lack any
awareness of guidelines pertaining to ethical engagement with artificial intelligence in their
work.

With regards to the potential exposure of public sector jobs to generative AI, over half of
government employees (55%) expressed some concern about the job displacement risks
that generative AI may pose. Those with higher education levels had lower reported
concerns of job displacement. The report also conducts labour market exposure analysis
that identifies educational attainment and educational specialization of an employee as the
most important predictors of occupational exposure to generative AI technologies. More
exposed public sector workers have lower levels of educational qualification and more
qualitative specializations (rather than quantitative) degrees of specialization. Ultimately,
an employee's highest level of education is the strongest predictor of job exposure to
generative AI.

Among other AI governance capacity building programs, the MBRSG runs a
comprehensive and globally-accredited AI Ethics Assessment executive education
program in partnership with the IEEE. This program has qualified over 50 leaders from
government and private entities in the UAE with the competencies to evaluate the ethical
implications of generative AI.

Building on the findings, the study proposes key policy directions. It highlights the need for
comprehensive training programs related to generative AI for government employees,
ranging from awareness building to specialized competencies, ethical assessments of AI,
and governance. It further proposes developing a taxonomy of context-specific public
sector generative AI skills and skills evaluation processes, and dynamically update these
as the nature of applications and behaviours evolves.

The findings suggest that the heavy reliance of generative AI applications on the
availability and quality of data demands a collaborative data approach, rather than a
competition-based approach, with data, resources and know-how shared with the aim of
collective excellence among different Dubai government entities. Finally, the study
highlights the strategic importance of practical ethical AI governance to mitigate risks
triggered by misuse of generative AI, especially on the fronts of data privacy, bias and
quality.

In 2023, the Dubai Government Human Resources Department and the Mohammed bin
Rashid School of Government signed a cooperation agreement to implement a research
project aimed at enhancing the role of generative artificial intelligence in government work
and strengthening the capabilities of government entities in this field. This partnership
seeks to assess the current state of generative AI technologies and identify opportunities
to improve efficiency and productivity through training programmes, workshops, and
knowledge outputs that support informed decision-making. This strategic step reflects the
Dubai government's commitment to adopting advanced technologies and fostering
innovation in the public sector.

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