Daniel Ramírez is a distinguished thought leader and innovator in the field of Artificial Intelligence Ethics and Responsible Technology Development, currently based in Barcelona, Spain. With over 15 years of experience spanning academia, industry research, and policy advising, Daniel has dedicated his career to ensuring that technological advancements, particularly in AI, align with human values and societal good. He is known for his pragmatic approach to complex ethical dilemmas, his ability to bridge the gap between technical developers and policymakers, and his compelling advocacy for transparent and accountable AI systems. Daniel frequently consults for international organizations and governments, helping to shape frameworks and guidelines for the ethical deployment of emerging technologies. He is also a passionate educator, committed to fostering the next generation of ethically-minded technologists.
Daniel Ramírez's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Wrote an influential book that demystifies AI ethics for a broad audience, proposing practical frameworks for developing and deploying AI responsibly. The book has been translated into 12 languages and is used in university curricula worldwide.
Co-established AIEGI, a non-profit organization that promotes global collaboration on AI ethics research, policy development, and public awareness campaigns. The initiative now has chapters in over 20 countries.
Awarded for significant contributions to advancing ethical considerations in technology and for impactful work in promoting human-centric AI development on a global scale.
Served as the lead ethical advisor in the development of a comprehensive national (or supra-national like EU) AI strategy, focusing on integrating fairness, accountability, and transparency principles into governmental AI adoption.
Delivered a widely-cited keynote address at the World Economic Forum, outlining a roadmap for international cooperation on AI governance and the mitigation of AI-related risks.
University of Surrey - Year 2002
Instituto Tecnologico de Nuevo Laredo - Year 1990
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