Artificial Intelligence
Data Science
Responsible Artificial Intelligence
Miguel Luengo-Oroz is a scientist, entrepreneur, policy advisor, and engineering professor passionate about developing and promoting responsible technology for social impact. Known for his pioneering work in artificial intelligence and big data, he became the first data scientist at the United Nations, where he led global projects for humanitarian action and sustainability. His expertise spans digital health to technology governance, positioning him as a leading voice in the ethical development of AI.
Dr. Miguel Luengo-Oroz served as Chief Data Scientist of UN Global Pulse in the Executive Office of the UN Secretary-General, where he oversaw the organization’s technology strategy. For over ten years, he led interdisciplinary teams that brought data science and AI into public policy and operations across international organizations, governments, and the private sector. His work has impacted diverse areas including poverty, food security, human rights, gender equality, conflict prevention, climate, epidemics, and privacy. He is currently the founder and CEO of Spotlab, a platform leveraging AI and mobile technologies to democratize medical diagnostics, and a professor at Universidad Politécnica de Madrid. Miguel invented MalariaSpot.org, a crowdsourcing video game for malaria diagnosis, and is a board member of Ashoka Foundation in Spain.
Co-author of over one hundred scientific papers, policy reports, and opinion articles, his work has been featured in outlets like El País, The Guardian, CNN, and Al Jazeera, as well as scientific journals such as Science, Nature, and The Lancet. He regularly advises on responsible AI and collaborates with governments and organizations, including the Global Partnership on AI.
Miguel Luengo-Oroz’s conferences provide a deep dive into the positive impact of technology on society, with a balanced look at the risks and opportunities AI brings to global issues. His approachable and insightful style encourages audiences to reflect on advances in big data and their applications in global health, sustainable development, and AI ethics. Tailored to leaders and general audiences alike, his talks deliver grounded perspectives on integrating emerging technologies for social well-being.
A talk that explores the positive applications of artificial intelligence in social and humanitarian fields, as well as the dangers associated with its misuse. Miguel analyzes real case studies and presents how AI tools can both solve critical problems and pose serious threats if not properly regulated and managed.
This conference examines the potential of data science to transform how we address global challenges. Miguel Luengo-Oroz shares examples from his work with the UN and other organizations, showcasing instances where data analysis has had a direct impact on decision-making and development policies.
Focused on AI ethics and governance, this talk helps audiences understand the importance of developing and regulating technology responsibly. Miguel explains how AI risks can be minimized while maximizing its potential for global well-being.
In this presentation, Miguel outlines his vision for creating technologies that prioritize human well-being and environmental sustainability. Through examples from innovative projects, he illustrates how technology can be a tool for social and ecological development when applied with an ethical and responsible outlook.
If you’re looking for an inspiring and insightful talk on responsible AI, data science for social impact, or cutting-edge technology, you can book Miguel Luengo-Oroz through Thinking Heads. As a leading figure in the ethical use of AI and data analytics, Miguel offers an expert perspective on integrating technology for global health and sustainable development. Contact Thinking Heads today for more information and to secure his participation in your next event.
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+(34) 91 310 77 40
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© Thinking Heads, 2025
MADRID
+(34) 91 310 77 40
+(34) 91 310 77 40
MIAMI
+1 (305) 424 13 20
SEOUL
+(34) 91 310 77 40