Anchoring AI Evolution in Humanity: Pathways for Ethical, Inclusive, and Cross‑Boundary Collaboration


Zhu Consulting

Session 191

Monday, 6 July 2026 11:00–11:45 (UTC+02:00) Physical (on-site) and Virtual (remote) participation Room H2, ITU Montbrillant Building Interactive Session
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Physical (on-site) and Virtual (remote) participation


As AI rapidly reshapes the world as we know it, the transition from high-level value principles to concrete reality remains one of the defining challenges of our time. This panel discussion, organized by Zhu Consulting under AI for Humanity, brings together leading voices intersecting technology, governance, and society to examine actionable pathways for responsible AI implementation and the new ways of cross-boundary collaboration in the AI era.

Going beyond value principles, this discussion explores practical mechanics listeners can take away to inform more effective adoption of responsible AI and drive coordinated partnerships around humanity-centered digital future, drawing insights from existing best practices and research evidence, including IEEE, MIT AI Risk Initiative, and UNDP Digital, AI and Innovation Hub.

This session contributes directly to the advancement of WSIS framework in an AI-driven era, especially linked to the WSIS Action Lines C10 (Ethical dimensions of the Information Society) and C11 (International and regional cooperation). It likewise supports translating global normative visions such as the Global Digital Compact and UNESCO recommendations into concrete practice.

Panellists
Dr. Clara Neppel
Dr. Clara Neppel Senior Director IEEE Europe

Dr. Clara Neppel is Senior Director at IEEE, the world's largest professional organization advancing technology for humanity. She is involved in efforts related to emerging technologies, standardization, entrepreneurship, as well as societal and environmental implications of technology. Dr. Neppel is also an Independent Director of the Supervisory Board of 28Digital, Co-Chair of the OECD Expert Group on AI, Data and Privacy, Member of Austria's AI Advisory Board, Member of the Expert Forum on Frontier AI of the European Commission and the EY. ai Global AI Advisory Council. She holds a PhD in Computer Science from the Technical University of Munich and a Master in Intellectual Property Law and Management from the University of Strasbourg.


Ms. Yu Ping Chan
Ms. Yu Ping Chan Head, Partnerships and Engagement UNDP Digital, AI and Innovation Hub

Ms. Yu Ping Chan leads the Positioning, Engagement and Strategic Advocacy team at the Digital, AI and Innovation Hub of UNDP, the United Nations’ development agency. There, Yu Ping drives global thought leadership and builds partnerships to support UNDP’s digital development and innovation work. She concurrently serves as the interim Coordinator heading the UNDP Global Center on Technology, Innovation and Sustainable Development in Singapore.

Yu Ping previously headed the Rising Nations Initiative Secretariat at the Global Center for Climate Mobility. She has extensive experience with multilateral diplomacy and the United Nations system, having also previously led the Office of the UN Secretary-General’s Envoy on Technology, as well as the Policy and Regional Support teams in the UN Office of Counter-Terrorism. Prior to this, she worked in the UN’s Department of Political Affairs, and in the New York Office of the United Nations Office on Drugs and Crime. 

Before joining the UN Secretariat, Yu Ping was a diplomat in the Singaporean Foreign Service. She served at the Singapore Mission to the United Nations in New York as well as at the Ministry of Foreign Affairs, overseeing the Association of Southeast Asian Nations (ASEAN). 

Yu Ping has a Bachelor of Arts (magna cum laude) from Harvard University, and a Masters of Public Administration from Columbia University’s School of International and Public Affairs. 


Dr. Peter Slattery
Dr. Peter Slattery Research Scientist MIT AI Risk Initiative

Dr. Peter Slattery is a research scientist at MIT FutureTech, an interdisciplinary group based at MIT’s Computer Science and Artificial Intelligence Lab and the Initiative on the Digital Economy that studies how advances in computing and AI shape scientific progress and economic outcomes. At MIT FutureTech, he works on the MIT AI Risk Initiative which aims to provide authoritative data and frameworks to help identify, prioritize, and manage the risks from AI.


Ms. Hao Ji Zhu
Ms. Hao Ji Zhu Founder Zhu Consulting Moderator

Ms. Hao Ji Zhu is the Founder of Zhu Consulting, with a core mandate on driving responsible AI, including sociotechnical alignment literacy, implementation of value expectations, and partnerships across geographical, sectoral, and conceptual boundaries. Coming from the United Nations, public, private, and non-profit sectors, she worked on areas including humanitarian assistance, international development, conflict prevention and peacebuilding, governance, human rights, education, and youth empowerment in North America, Europe, Asia, Africa, and the Middle East.


Topics
Artificial Intelligence Digital Inclusion Ethics Global Digital Compact (GDC) Human Rights
WSIS Action Lines
  • AL C10 logo C10. Ethical dimensions of the Information Society
  • AL C11 logo C11. International and regional cooperation

C10 "Ethical dimensions of the Information Society"

This session supports the objectives of C10 by focusing on how to translate high-level ethical principles such as inclusion, fairness, safety, rights, and accountability into real-world impact. Moving beyond concepts, the session explores practical mechanics to systematically embed values in AI practice, drawing insights from existing best practices and research evidence.

C11 "International and regional cooperation"

This session supports the objectives of C11 by looking at how to build stronger and more resilient global digital ecosystems around AI. Specifically, the discussion dives into how diverse sectors, industries, and regions can partner more effectively, coordinating their efforts toward responsible AI adoption that drives collective betterment and leaves no one behind.

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 8 logo Goal 8: Promote inclusive and sustainable economic growth, employment and decent work for all
  • 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 11 logo Goal 11: Make cities inclusive, safe, resilient and sustainable
  • Goal 16 logo Goal 16: Promote just, peaceful and inclusive societies
  • Goal 17 logo Goal 17: Revitalize the global partnership for sustainable development

Given AI's diverse impact across domains, discussion outcome will contribute to the selected SDGs, including well-being (such as protection from cognitive harm and digital threats to mental and emotional well-being), education (including responsible AI public literacy and knowledge infrastructure), bias mitigation, fair labor market, sustainable innovation, reduced inequalities, smart communities, accountable institutions, and global partnerships.

GDC Objectives
  • 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
Links

https://zhuconsulting.com/wsis-forum-2026-panel