AI Use & Data Ethics Jonathan Warner Operations B.V.

Last update – March 2026

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Good leadership includes responsible use of data and technology.

In the context of our professional services, we may use carefully selected digital and AI-supported tools to enhance leadership and teamwork, improve performance with creative formats, strengthen analysis, structure information and improve efficiency. These tools support our advisory work — they do not replace professional judgement or responsibility. We use AI only as an auxiliary tool for mirroring, summarising, structuring and drafting, always with human review and final editorial responsibility (“human-in-the-loop”).

1. Responsible use of AI

Where AI-supported tools are used:

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• Human professionals remain responsible for interpretation, recommendations and decisions;
• We do not use fully automated decision-making that produces legal or similarly significant effects within the meaning of Article 22 GDPR;
• We do not rely solely on automated profiling in leadership assessments or development processes;
• We assess AI providers for confidentiality, data protection compliance and security standards;
• Where personal data is processed through AI-enabled tools, this is subject to contractual safeguards and, where required, data processing agreements;
• We do not permit personal data under our control to be used to train public AI models without appropriate contractual and technical protections;
• We verify AI outputs for accuracy, completeness and potential bias before they are used in any client deliverable.

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2. Data ethics commitments

Leadership development concerns people, behavior and performance. That requires care, fairness and proportionality. Therefore, we commit to:

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• Human oversight in meaningful professional decisions;
• Fairness and non-discrimination in advisory and development contexts;
• Transparency about the role of technology where relevant, when AI materially contributes to summaries, drafts or structured analyses used in deliverables;
• Data minimization and purpose limitation;
• Defined retention periods and secure deletion; where possible we minimise storage of prompts/outputs and align retention with our Privacy Statement and vendor settings;
• Continuous evaluation of emerging technology and ethical risks. We maintain AI literacy among our professionals through practical guidance and periodic training.

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3. Incident management

If we identify an AI-related incident (e.g., unintended disclosure of information, security issues, or a material output error), we follow our internal escalation process, take corrective action, and communicate with clients where appropriate.

4. Governance

The leadership team will periodically review AI tools and update guidance as technologies evolve. Consultants are encouraged to share useful AI practices that enhance quality, learning, and productivity while maintaining the standards outlined in this policy.

Questions about our data practice or use of AI? Contact us at info@jonathanwarner.nl.

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