Responsible GenAI in Public Services: From Policy Principles to Deployable Workflows


WomenInGenAI

Session 213

Monday, 6 July 2026 17:00–17:45 (UTC+02:00) Physical (on-site) and Virtual (remote) participation Room G3, ITU Varembé Building Interactive Session
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Physical (on-site) and Virtual (remote) participation


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.

Panellists
Ms. Tatyana Kanzaveli
Ms. Tatyana Kanzaveli Founder WomenInGenAI, USA Moderator

Tatyana Kanzaveli is the Founder of WomenInGenAI and Founder & CEO of Open Health Network, a digital health and AI company focused on using data, technology, and intelligent workflows to improve health outcomes and public-service delivery.

She is an entrepreneur, investor, speaker, and global thought leader in AI, Generative AI, digital health, and responsible innovation. Her work spans healthcare, clinical trials, patient engagement, public-sector transformation, and AI-enabled systems designed to support real-world implementation.

Tatyana has spoken at major U.S. and international forums on innovation, entrepreneurship, digital health, and AI, including TEDx and global policy and technology events. Through WomenInGenAI, she is advancing inclusive leadership and ensuring that women’s voices are represented in shaping the future of Generative AI.

Her work focuses on moving AI from hype to practical, governed, human-centered deployment that creates measurable value for institutions and communities.


Dr. Ali Abbasov
Dr. Ali Abbasov Board Member Azertelecom LTD, Azerbaijan

ALI MUHAMMAD OGLU ABBASOV was born on January 1, 1953, into an intellectual family in the city of Nakhchivan. In 1976, he graduated from the Moscow Power Engineering Institute, majoring in "Automation and Telemechanics." He received his Ph.D. degree in Technical Sciences (Candidate of Technical Sciences) in 1981, his Doctor of Technical Sciences degree in 1994, and the academic title of Professor in 1996. In 2001, he was elected a Full Member (Academician) of the Azerbaijan National Academy of Sciences (ANAS). He began his career as an engineer at the ANAS Institute of Cybernetics (1976). He served as Head of Laboratory (1982–1988), Chief Engineer (1988–1992), and Director (1992–1997) at the Automated Management Systems (AMS) Department of ANAS.

From 1997 to 2000, he served as the Director of the Scientific Center for Information and Telecommunications of ANAS; from 2000 to 2004, as the Rector of the Azerbaijan State Economic University (ASEU); and from 2004 to 2015, as the Minister of Communication and Information Technologies, and subsequently the Minister of Communications and High Technologies of the Republic of Azerbaijan. He was appointed Advisor to ANAS (2017) and Director of the ANAS High Technologies Park (2020). Since 2021, he has been the Director General of the Institute of Control Systems of ANAS. He is a Full Member of the International Academy of Sciences, the World Academy of Sciences (TWAS), the International Informatization Academy, and the International Academy of Engineering. He is also an Honorary Doctor of 5 foreign universities and a member of the Institute of Electrical and Electronics Engineers (IEEE).

From 2000 to 2004, he served as a Member of the Parliament (Milli Majlis) of the Republic of Azerbaijan and a member of the Azerbaijani delegation to the Parliamentary Assembly of the Council of Europe (PACE). At PACE, he served as the Rapporteur for the comprehensive report on the "Protection of Cultural Heritage in the South Caucasus" and as one of the co-rapporteurs for "The Role of ICT in Human Rights." He was also a keynote speaker at Harvard University (John F. Kennedy School of Government) on the topic of "The Impact of Conflicts in the South Caucasus on the Economic Development of the Region." He has been a member of the New Azerbaijan Party since January 1993, and served as a member of the Political Council of the Party from 2001 to 2021.

The primary focus of E. Abbasov's scientific research is directed toward information technologies and the resolution of control system problems. He introduced topological methods aimed at increasing the layout density of Large-Scale Integration (LSI) and Very-Large-Scale Integration (VLSI) circuits, successfully resolving the optimal placement and interconnection of elements on a crystal chip. Furthermore, he resolved problems linking the functional-topological structure of control systems with application processes in computer networks. He developed simulation models for distributed information systems and resolved integrity issues within distributed databases.

The theoretical and practical foundations of distributed intelligent systems were proposed by him. He introduced distributed knowledge bases with fuzzy relational structures, decision-making mechanisms over them, and the development of expert systems, alongside adaptation methods in fuzzy structured knowledge bases and a mathematical model for an ideal knowledge base. Fuzzy search methods and algorithms for large-scale information networks were successfully developed. Utilizing Big Data and deep learning, he developed natural language processing (NLP) methods—including machine translation, speech analysis, and comprehension—specifically tailored for natural languages with low linguistic digital resources, which were successfully implemented for the Azerbaijani language.

He spearheaded the establishment of the Internet infrastructure in Azerbaijan. He served as the executor and director of the "Republic Automated Management Systems" project, as well as special-purpose computer and information systems of national importance. He was the national coordinator for the EARN and INTERNET networks, acted as the Azerbaijani coordinator for the NATO Science Committee, and represented the Republic of Azerbaijan in the Trans-European Research and Education Networking Association (TERENA). During this tenure, he managed critical projects such as "Development of the Science and Education INTERNET Network," "Establishment of the Distance Education System in the Republic," "Virtual Silk Highway," "Special Talents Group," and other significant initiatives.

He achieved remarkable results, referenced by relevant UN bodies, in accelerating the transition to an information society and fostering the digital economy in Azerbaijan, implementing new technologies and e-government solutions, and developing broadband network services and human resources in ICT. He also directed national and regional projects, including the "Trans-Eurasian Super Information Highway," "Regional Innovation Zone," and "Azerspace - Telecommunication and Observation Satellites."

He is the author of nearly 400 scientific works, including 9 books, 12 monographs, 4 dictionaries, 9 textbooks, 1 encyclopedia, and 17 patents. He is the organizer of a number of international conferences hosted in our country and serves as one of the Co-Editors-in-Chief of the Applied and Computational Mathematics scientific journal, which possesses a high Impact Factor (IF: 7.4). Under his academic supervision, 25 Doctors of Philosophy (Ph.D.) and 14 Doctors of Sciences have been successfully trained.

By the Decree of the President of the Republic of Azerbaijan in 2012, he was awarded the Order of "Shohrat" (Glory). By the decision of the Presidium of the Azerbaijan National Academy of Sciences dated October 31, 2025, Academician Ali Abbasov was awarded the ANAS "Lev Landau Badge of Honor" for his outstanding services in the theoretical and applied fields of Artificial Intelligence.

 


Ms. Adrianna Tan
Ms. Adrianna Tan Founder Future Ethics Lab, US

Adrianna Tan is the founder of Future Ethics Lab, an AI research lab focused on procurement and multilingual safetyu safety standards based in San Francisco and Singapore. Previously, she was AI Red Team lead at Humane Intelligence (founded by Dr Rumman Chowdhury) where she led the world's first participatory defense medicine red teaming project with the Department of Defense. She was also the project lead on IMDA Singapore's world's first multilingual, multicultural red team evaluation and benchmarking project involving 9 countries in Asia Pacific. She speaks and lectures frequently on AI Safety and Security with international and US federal and state government leaders, and also serves as a AI testing and evaluations consultant with the State of Maryland's Before AI safety and security, she was the Director of Product at San Francisco Digital Services, where she built Covid-19 vaccine search systems, translation microservices and other public health and business services that impacted millions of users. She was also a senior product manager at PlanetScale, the cloud native database scaling system used by companies like Slack and Etsy.


Mr. Alfredo Ronchi
Mr. Alfredo Ronchi General Secretary European Commission-MEDICI , Italy

 Alfredo M. Ronchi is the General Secretary of the European Commission-MEDICI Framework, Secretary of the European Working Group on “EU Directives and Cultural Heritage” and head of the representative of OCCAM NGO at UNO International Centre in Vienna. He is appointed by ICNM as a member of Executive Board of Directors of the World Summit Award, member WSA Grand Jury and President of eContentAwardItaly. He is member of the Europrix Top Talent Award Executive Board of Directors, Chair of panels “On culture in a world wide information society” WWW Conferences 2001-2004, Co-Chair of Infopoverty Conferences 2001-09 Founding Chair of the panel “Business opportunities from cultural heritage” CeBIT 98-08 Hannover (D). He was and still is coordinator / manager of several different international projects. He had active roles in events promoted by The World Bank, Council of Europe, European Commission, IEEE. Alfredo M. Ronchi is appointed as an expert c/o , the Norvegian Government, the European Commission, the Council of Europe, the Italian Association of Banks (ABI), National Research Council (CNR) and member of the Scientific Committee c/o Infopoverty, Fondazione Italiana Nuove Comunicazioni, Global Forum – Shaping the Future, Sacred World Foundation. He is actually member of the Italian delegation for cultural heritage in the Italy China cooperation framework (2005-2009). 
Mr. Ronchi, author of more than one hundred papers and ten books, is a professor at Politecnico di Milano (Engineering Faculty).


Topics
Artificial Intelligence Capacity Building Cybersecurity Digital Divide Digital Inclusion Digital Skills Digital Transformation Education Emerging Technologies Ethics Global Digital Compact (GDC) Health Human Rights Infrastructure Machine Learning WSIS+20 Review
WSIS Action Lines
  • AL C1 logo C1. The role of governments and all stakeholders in the promotion of ICTs for development
  • AL C4 logo C4. Capacity building
  • AL C5 logo C5. Building confidence and security in use of ICTs
  • AL C6 logo C6. Enabling environment
  • AL C7 E–GOV logo C7. ICT applications: benefits in all aspects of life — E-government
  • AL C7 E–LEA logo C7. ICT applications: benefits in all aspects of life — E-learning
  • AL C7 E–HEA logo C7. ICT applications: benefits in all aspects of life — E-health
  • AL C10 logo C10. Ethical dimensions of the Information Society
  • AL C11 logo 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.

Sustainable Development Goals
  • Goal 3 logo Goal 3: Ensure healthy lives and promote well-being for all
  • Goal 4 logo Goal 4: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
  • Goal 5 logo Goal 5: Achieve gender equality and empower all women and girls
  • Goal 9 logo Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
  • Goal 10 logo Goal 10: Reduce inequality within and among countries
  • Goal 16 logo Goal 16: Promote just, peaceful and inclusive societies
  • Goal 17 logo 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.

GDC Objectives
  • 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