Responsible GenAI in Public Services: From Policy Principles to Deployable Workflows
WomenInGenAI
Session 213
Turning responsible AI principles into practical, governed, measurable public-sector implementation
As governments and public institutions move from AI strategy to real-world implementation, the urgent question is no longer whether Generative AI matters. The question is how to deploy it responsibly, safely, inclusively, and in ways that create measurable public value.
This session will examine how public-sector leaders, technology companies, civil society, researchers, and global organizations can move beyond high-level AI principles toward practical, governed workflows that can be implemented across public services. The discussion will focus on the transition from policy statements to operational models: human oversight, transparent decision-making, responsible procurement, data governance, risk management, workforce readiness, citizen trust, and measurable outcomes.
Generative AI has significant potential to improve access to information, public health, education, government services, and administrative efficiency. At the same time, poorly designed systems can amplify bias, create privacy risks, undermine accountability, or widen existing digital divides. Responsible deployment therefore requires not only technical innovation, but also institutional capacity, ethical frameworks, multidisciplinary collaboration, and clear implementation pathways.
The session will highlight practical examples and emerging approaches relevant to e-government, e-health, e-learning, and citizen-facing services. Speakers will explore how AI-enabled tools can support public institutions while keeping people at the center: improving service delivery, helping staff work more effectively, supporting underserved communities, and strengthening confidence in digital systems.
A core focus will be the future of WSIS beyond 2025: how the global community can ensure that AI and digital transformation advance inclusive development, human rights, trust, gender equity, and international cooperation. The session will bring together diverse voices from technology, policy, healthcare, public administration, and civil society to discuss what responsible GenAI deployment should look like in practice.
The goal is to leave participants with a sharper understanding of how to move from AI ambition to implementation: not more hype, not more abstract principles, but deployable workflows, accountable systems, and public services designed for real people.
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C1. The role of governments and all stakeholders in the promotion of ICTs for development
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C4. Capacity building
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C5. Building confidence and security in use of ICTs
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C6. Enabling environment
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C7. ICT applications: benefits in all aspects of life — E-government
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C7. ICT applications: benefits in all aspects of life — E-learning
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C7. ICT applications: benefits in all aspects of life — E-health
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C10. Ethical dimensions of the Information Society
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C11. International and regional cooperation
This session directly supports several WSIS Action Lines by focusing on the responsible and practical use of ICTs and Generative AI in public services.
It aligns with C1 by emphasizing the role of governments and stakeholders in shaping responsible AI deployment. It supports C4 by addressing capacity building for public-sector leaders, institutions, and workforces. It connects to C5 through its focus on trust, safety, risk management, transparency, and security in the use of AI-enabled systems. It also advances C6 by examining the enabling policy and governance environment needed for responsible implementation.
The session is especially relevant to C7 applications, including e-government, e-health, and e-learning, where GenAI can improve access, service delivery, and institutional efficiency when deployed responsibly. Finally, it supports C10 by addressing the ethical dimensions of AI and C11 by encouraging international and regional cooperation around responsible digital transformation.
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Goal 3: Ensure healthy lives and promote well-being for all
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Goal 4: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
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Goal 5: Achieve gender equality and empower all women and girls
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Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
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Goal 10: Reduce inequality within and among countries
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Goal 16: Promote just, peaceful and inclusive societies
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Goal 17: Revitalize the global partnership for sustainable development
This session supports the Sustainable Development Process by focusing on how Generative AI can be deployed responsibly to strengthen public institutions, improve access to services, and accelerate progress across the Sustainable Development Goals.
The session is directly connected to health, education, gender equality, innovation, reduced inequalities, strong institutions, and global partnerships. Responsible GenAI has the potential to expand access to trusted information, improve public-service delivery, support healthcare and education systems, and help governments better serve communities. However, these benefits will only be realized if AI systems are designed with inclusion, transparency, accountability, human oversight, and public trust at the center.
The discussion will examine how governments, international organizations, technology leaders, civil society, and domain experts can work together to move from AI principles to deployable workflows. It will emphasize capacity building, responsible governance, ethical implementation, digital inclusion, and protection against widening existing inequalities.
By connecting AI innovation with practical implementation and measurable public value, the session contributes to the broader Sustainable Development Process and the vision of technology as a tool for inclusive, human-centered progress.
- Objective 1: Close all digital divides and accelerate progress across the Sustainable Development Goals
- Objective 3: Foster an inclusive, open, safe and secure digital space that respects, protects and promotes human rights
- Objective 4: Advance responsible, equitable and interoperable data governance approaches
- Objective 5: Enhance international governance of artificial intelligence for the benefit of humanity