AI Governance & Ethics Expert | ISO/IEC 42001 Lead Auditor | Independent AI Systems Auditor | Lecturer, Digital Product Management

Ina Schöne is a distinguished practitioner and educator at the intersection of Artificial Intelligence, governance, ethics, regulation, data protection, and digital product management. Her work focuses on one of the most critical challenges facing organizations today: turning rapidly evolving AI regulations and standards into practical, trustworthy, and auditable systems.

As an ISO/IEC 42001:2023 Lead Auditor for AI Management Systems and Independent Auditor of AI Systems, Ina brings a rigorous governance and assurance perspective to the development and deployment of AI. She combines this with expertise in data protection, AI compliance, AI risk management, cybersecurity, and responsible AI, giving organizations a practical framework for navigating an increasingly complex regulatory environment.

Ina is a Lecturer in Digital Product Management at Hochschule Nordhausen University of Applied Sciences and a certified AI Manager and AI Compliance Representative trainer with the DIHK. She is also pursuing an LL.M. in Information Law with a focus on new technology law and the EU AI Act. Her academic and professional work reflects a strong ability to connect emerging technology with the legal, ethical, and governance frameworks required for responsible adoption.

Her international engagement includes participation in the OECD G7 Hiroshima AI Process (HAIP) Task Force and Friends Group, as well as contributions to the G7 HAIP Reporting Framework. She is also a member of the AI Governance Advisory Board (AIGN) and contributes to professional networks and initiatives focused on trustworthy AI, digital transformation, and responsible technology.

With experience speaking on AI auditing, AI governance, AI regulation, responsible AI, and emerging technology standards across international forums, Ina offers a perspective that goes beyond theory. Her strength lies in translating complex regulatory and technical requirements into practical questions of how organizations can build AI that is accountable, compliant, secure, and fit for the real world.

For leaders working with AI, data, technology, and digital transformation, Ina Schöne brings a valuable perspective on what responsible AI looks like beyond the headlines: how governance becomes practice, how standards become implementation, and how organizations can prepare for the next generation of AI regulation.