Page 27 - DGHR PR REPORT - APRIL 2025

4/25/25, 9:14 AM 94% of Dubai govt employees express optimism over impact of generative AI | TahawulTech.com
employees (94%) are optimistic about the impact of generative AI on government operations. Meanwhile,
a majority of users in the public sector (64%) use generative AI at an intermediate or advanced level.
Among the users of these applications, nearly all (97%) reported benefits from the use of generative AI
for work tasks, including time savings, improved work quality, productivity and increased creativity.

Specifically, public sector employees most commonly use generative AI for email drafting, content
creation and research processes assistance, with expert users exploring a greater variety and complexity
of tasks relying on these technologies.

The ground-breaking report also uncovers challenges and widespread concerns, with inaccurate outputs,
data privacy issues, biased output and unreliable performance being the top issues reported by public
servants in Dubai when using generative AI applications.

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

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