Ina Schone
Biography
Ina Schone is a certified ISO/IEC 42001:2023 Lead Auditor for Artificial Management Systems (AIMS). She is also an AI Officer/Trainer, AI Business Professional, AI Design Master & Prompt Engineer, and TUV Rheinland certified data protection officer and data protection auditor (GDPR).
She teaches in the "Digital Product Management" program at Nordhausen University of Applied Sciences and is a lecturer in the "AI Manager" and "AI Officer" courses for the German Chamber of Commerce and Industry. She has been a supporter of the OECD and contributed to the "G7 Reporting Framework - Hiroshima AI Process (HAIP) International Code of Conduct for Organizations Developing Advanced AI Systems" with her report, thus achieving the first global milestone for "AI Transparency" together with 18 other companies.
Schone is currently writing her master's thesis in the Information Law program at Carl von Ossietzky University of Oldenburg, specializing in AI Regulation and the law of new technologies (LL.M., 2026). She originally studied logistics management, operations research, and market-oriented business management at the TU Dresden (diploma, 2024).
With a holistic understanding of the implementation of the new legal requirements for the digital world (GDPR, AI Regulation, Data Act, NIS II, CRA), she advises at the international level, in the national SME sector, and at the municipal level, including certification audits.
ENGAGEMENTS
1.Digital Summit on excitement Tech World 2024 - India
2.AI Network Dresden 2025 - Technology meets Regulation - When AI and Law Collide
3.Town Hall Call - KI Park e.V. Berlin - 2025
4.Labor Law Congress Nordostchemie 2025 - Implementation of an AI-supported HR tool taking into account the AI Regulation and the GDPR
5.AIGN Summit 2025 - Ethical AI and economy - value creation based on responsible AI
Research Interest
Teaches in the "Digital Product Management" program at Nordhausen University
of Applied Sciences and is a lecturer in the "AI Manager" and "AI Officer" courses for
the German Chamber of Commerce and Industry.
Abstract
From Principles to Processes: Implementing responsible AI across national Borders
In an era in which artificial intelligence is fundamentally transforming business models, government, and society, we need clear, universally applicable
guidelines. This speech outlines why international standards are more than just technical regulations: They build trust, ensure competitiveness, and
enable cross-border cooperation in risk management, transparency, and liability. Established standards (ISO/IEC, OECD Principles, EU AI Act, NIST
Guidelines) show us how we can align AI data processing with fundamental ethical values to make AI safe, fair, and sustainable. Adaptable governance
models, auditability, human-centered AI design principles, and the building of multilateral coalitions are central to responsibly channeling innovation
drivers.
Ethics in AI is not a matter of ideology, but of operational implementation. How can the principles of responsible AI (fairness, transparency, safety,
accountability) be transformed into concrete, measurable processes that work across diverse legal and cultural contexts? Risk-based regulation,
auditability, human-centered design, grievance mechanisms, supply chain commitments, and certifiable compliance programs are key building blocks.
Key messages
Why international standards are essential, especially when AI processes data in security-relevant environments (cybersecurity, infrastructure,
border protection)?
Why AI-specific standardization is necessary and how it increases trust and resilience in security-critical ecosystems?
How international standards facilitate cross-border collaboration, risk management, and compliance ? building trust and enabling cross-border
collaboration?
What key standards exist (ISO/IEC, OECD Principles, EU AI Act, NIST) and what added value they offer for security policy, industry, and research.
What action policymakers, businesses, and civil society should take promptly?
In a globally connected world, AI ethics determine not only morality, but also economic sovereignty and social trust. International standards are not an
obstacle, but rather the common toolbox that makes innovations safe and fair. Participants will learn why we have universally understandable yet
flexibly adaptable layers of norms that guide regulation, business, and society toward a common ethical compass, transcending national egoism and
technological fragmentation. Practical solutions provide inputs for implementation, as a lack of AI ethics is linked to liability issues.
