Armando Guio Español is a lawyer, and graduated from Universidad de los Andes (Bogota, Colombia) in 2014 with an Honours Degree. He holds a Masters of Law from Harvard Law School (LL.M. '16) and a Master of Public Policy from Oxford University (MPP '18). Currently he is a PhD candidate at the Munich School of Politics and Public Policy.
He has advised public and private entities around the world on data protection, AI policy and innovation matters. He led the design and implementation of Colombia's AI Strategy. As a consultant for CAF Development Bank of Latin America, he works with the governments of Brasil, Uruguay, Perú and Chile in their own digital transformation and AI strategies. He has also advised the World Bank, Oxford University and UNESCO, amongst other entities, in matters related to the ethics and governance of AI.
He is interested in emerging technologies and the ethical and regulatory challenges that come with them. Thus, he has focused his work and studies on the design and implementation of regulatory sandboxes throughout the region.
Danil Kerimi is an experienced technology, development finance, public administration, and international relations executive with a track record of delivering impactful projects in corporate strategy and governance, national and municipal digital transformation, ESG & DEI, strategic foresight, macro-analysis, stakeholder management, agile policy making and communication, innovation policy, tech, public and economic diplomacy in developed, emerging, and frontier markets.
His career spans international organizations, philanthropical and non-for-profit organizations, academia, corporates, private equity, and startups. Danil is a graduate of Shandong University (LLB), Vienna Diplomatic Academy (MAIS), and World Economic Forum’s Global Leadership Program (MA).
Jiawei Zhang is a Ph.D. candidate and a research associate at the School of Social Sciences and Technology, Technical University of Munich. He holds an M.Phil. from the University of Oxford on a full scholarship and an LL.M. from U.C. Berkeley Law School. His research interests include information technology law, competition law, digital governance, and AI policy.
Jiawei's award-winning article, "The Paradox of Data Portability and Lock-In Effects," won first place in the Harvard Journal of Law & Technology (JOLT) Note Competition and was published in its volume 36.2. His recent research surrounds the regulation of generative AI technology. His Article, “Regulating Chatbot Output via Inter-Informational Competition,” is forthcoming in the Northwestern Journal of Technology and Intellectual Property, and the Essay “ChatGPT as the Marketplace of Ideas” is forthcoming in the Stanford Law & Policy Review Online.
Laura Lucaj is a PhD Candidate at the Professorship for Governance, Public Policy & Innovative Technologies at TUM School for Social Sciences and Technology and Volkswagen Aktiengesellschaft.
Her research focuses on operationalising legal and ethical requirements for AI systems throughout their lifecycle with a focus on developing auditing methodologies. Laura holds a Master of Science Degree in Politics and Technology from the Technical University of Munich and a Bachelor of Arts Degree in Politics and Public Administration from the University of Konstanz.
Laura´s research interest focuses on solving the operational gaps in AI regulation enforcement and governance by developing methods and practices for compliance, between the industry and academia. She is also a researcher in auditing and regulation of AI for the etami consortium, where she collaborates with industry and academic partners on designing and piloting auditing and compliance best-practices for AI systems.