AI is reshaping global governance, humanitarian aid, and policy implementation. In this episode, Lambert Hogenhout, Chief of Data & AI at the United Nations, joins Sanjay Puri to discuss:

· How the UN is using AI for crisis response, supply chain logistics, and disaster relief.

· The challenges of implementing AI in a vast multinational organization.

· Why AI governance is critical for ensuring global stability and trust.

· Lessons for AI leaders from deploying AI across international operations.

🚀 Watch now and learn how AI is shaping the future of global governance! 🔔 Subscribe for more enterprise AI discussions!

Resources Mentioned: https://www.linkedin.com/in/lamberthogenhout/

Timestamps:

00:00 — Highlights

00:59 — Introduction

02:02 — UN’s digital transformation and early use of analytics & NLP

03:06 — Transition to generative AI and increased demand

04:14 — Making AI part of UN’s enterprise-wide mindset

06:00 — AI governance and why AI must go beyond IT departments

07:36 — Change management, reskilling, and training across the UN

09:30 — UN’s global data & AI literacy initiative

11:30 — Centralized vs. decentralized AI approaches in organizations

13:05 — Cultural, regulatory, and regional challenges with global AI

15:38 — Ethics in AI: aligning AI use with UN values & human rights

18:11 — Responsible AI frameworks and the need for evolving standards

20:53 — Ethical sourcing of data and concerns over low-wage labor

23:20 — Data governance: moving beyond the “big warehouse” myth

26:09 — Incentivizing data sharing & making data a measurable asset

28:13 — UN AI success stories

30:08 — Balancing innovation with responsible AI practices

32:32 — Role of AI in advancing the UN’s Sustainable Development Goals

34:18 — Sovereign AI & model localization: cultural content matters

36:35 — Risks of synthetic data and content collapse in future AI

38:20 — Final advice: focus on people & processes, not just technology

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