AI Ethics, a consultation

Joint consultation on AI ethics with the Max Planck Institute for Security and Privacy and the University of Wisconsin-Madison. This session explored how businesses integrate AI, their approach to ethical governance, and the challenges they face in aligning with global and regional regulatory frameworks.

Key Topics Discussed

Real-World AI Deployment
Businesses are increasingly adopting AI for automation, decision-making, and customer engagement. However, ethical considerations are often treated as an afterthought rather than a core principle. We examined the barriers companies face in implementing AI responsibly.

Regulatory and Standards Landscape
We analysed existing governance structures such as:

  • GDPR – Data privacy and AI implications.
  • ISO 27001 – Security standards and AI risk management.
  • ISO 42001 – The emerging AI-specific standard.
  • ISO 26000 – Corporate social responsibility in AI ethics.

A key discussion point was how these frameworks either complement or conflict with new AI governance policies in Europe.

The Practicality Gap: Ethics vs. Business Reality
While AI ethics frameworks exist, many businesses struggle with:

  • Accessing and interpreting them.
  • Resource constraints when implementing compliance measures.
  • Balancing innovation with ethical safeguards.

I contributed insights on how companies can operationalize AI ethics without disrupting growth.

Our Contribution

Bridging Governance and Business Needs
We provided an industry perspective on how businesses interpret and apply AI ethics frameworks in practice.

Identifying Implementation Gaps
We helped highlight areas where AI regulations lack clarity or feasibility, offering recommendations on making compliance more accessible.

Facilitating Strategic Discussions
By connecting research insights with real-world applications, I contributed to a more practical, action-oriented approach to AI ethics.

Outcome & Next Steps

The consultation emphasized the need for greater synergy between businesses, regulators, and researchers to ensure AI ethics frameworks are clear, actionable, and adaptable. The conversation also reinforced the importance of practical implementation guides that businesses can follow without hindering innovation.

This engagement strengthened my expertise in AI governance, compliance, and ethical deployment, further positioning me as a key advisor in the evolving landscape of AI ethics.

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