The Trusted Data and AI Journal is published under the leadership of two founders who share a common vision: creating a trusted platform where academia, industry, and public organizations can exchange knowledge, foster innovation, and advance the responsible use of data and artificial intelligence.
Drawing on extensive experience in research, executive leadership, consulting, and education, the publishers are committed to bridging theory and practice. Together, they guide the strategic direction of the journal, champion editorial quality, and promote interdisciplinary perspectives that address the technological, organizational, and human dimensions of Trusted Data and AI.
Dr. Michael Hahne is a recognized thought leader in Data Management, Data Governance, Business Intelligence, and AI-enabled data strategies. For more than 25 years, he has worked with organizations across industries to help transform data into trusted, strategic assets that enable better decisions, sustainable governance, and responsible innovation.
His expertise spans the full lifecycle of enterprise data management—from data architecture and governance frameworks to metadata management, modern cloud platforms, and AI-ready data ecosystems. Throughout his career, Dr. Hahne has combined scientific rigor with practical implementation, helping organizations bridge the gap between emerging technologies and long-term business value.
As author of numerous books and professional publications, international conference speaker, educator, and founder of Hahne Academy, he has actively shaped the development of the data management profession for many years. His work is guided by the conviction that trustworthy AI can only be achieved through trustworthy data, sound governance, and accountable decision-making.
As Founding Publisher of Trusted Data and AI, Dr. Hahne is committed to fostering an international platform that connects research and practice, encourages interdisciplinary collaboration, and advances the responsible use of data and artificial intelligence across technology, organizations, and society.
Erik Fransen MSc is an internationally recognized advocate for practical Data Management, Data Governance, and AI readiness. He works with organizations to build the trusted data foundations that enable artificial intelligence to deliver measurable business value while remaining transparent, accountable, and sustainable.
Erik studied Artificial Intelligence and Knowledge Engineering in the early 1990s and has more than 30 years of experience at the intersection of data, technology, business, and organizational change. With leadership roles spanning consulting, education, professional communities, and academia, he brings together strategic vision with hands-on implementation experience.
He is passionate about translating governance and data management principles into practical capabilities that help organizations navigate digital transformation with confidence. As an educator, mentor, and active contributor to the international data management community, Erik is dedicated to developing both organizations and professionals.
His work consistently emphasizes that successful AI initiatives depend not only on technology, but equally on people, governance, organizational alignment, and a shared understanding of trusted data.
As Founding Publisher of Trusted Data and AI, Erik is committed to building a collaborative platform where researchers, practitioners, and business leaders can exchange knowledge, share practical experience, and shape the future of trustworthy data and responsible artificial intelligence.
