
Lambert Hogenhout serves as chief data and AI officer at the United Nations Secretariat, where he oversees policy, governance, and strategic initiatives in data, artificial intelligence, and emerging technologies. Hogenhout brings 25 years of experience in the private sector and with international organizations, including the World Bank and the United Nations. His career began in humanitarian affairs, deploying technology to support communities affected by earthquakes and civil wars, before transitioning to data analytics and adopting tools such as machine learning and generative AI.
At the United Nations, Hogenhout has played a key role in advancing technology initiatives. He advises senior leaders on digital transformation, as well as the risks and ethical considerations associated with data and AI. Hogenhout authored an article outlining an ethical framework for AI at the United Nations, contributing to the development of the organization's Principles for the Ethical Use of AI. He has also led the United Nations' data literacy program, which has trained a significant portion of staff to foster critical thinking about the role of AI in global operations. Hogenhout has championed practical applications of AI, including optimizing food delivery logistics in crisis situations and providing AI-driven agricultural insights to support the United Nations' Sustainable Development Goals related to poverty and food security.
Hogenhout is an author and keynote speaker whose work addresses both technical and humanistic aspects of technology. Together with Amanda Wang, he co-authored "Data Privacy Across Borders," a guide for organizations operating globally that advocates for using data privacy as a strategic differentiator. He holds certifications as a data privacy professional (CIPT and CIPM/US). Hogenhout has delivered keynote presentations on data and AI governance, data strategy, AI ethics, responsible technology, and data privacy at international forums, including the International Economic Forum of the Americas Conference of Montreal and the AI Agent & Copilot Summit, where he presented the session "How to Survive AI as Companies and Humans."
A central theme in Hogenhout's work is the development of AI that is inclusive, ethical, and globally representative. He navigates complex cultural sensitivities and regulatory environments across 193 member states and emphasizes the importance of promoting AI that reflects diverse languages and cultures for global inclusivity. Hogenhout advocates for a thoughtful approach to automation, prioritizing ethics, inclusion, and societal impact. His perspective at the intersection of global governance and advanced technology positions him as a leading voice in discussions about the future of AI and responsible technology.
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