Gabriela Bar had the pleasure of joining Anastassia Lauterbach for a podcast conversation.
During their conversation, tehy took a pragmatic look at AI governance – moving beyond high-level narratives and focusing on operational realities.
They addressed several key aspects, including:
- The evolving AI ecosystem in Poland – characterised by rapid growth, yet uneven development. On one hand, we see strong commercial adoption; on the other, increasing emphasis on technological sovereignty, reflected in initiatives such as PLLuM and Bielik.
- Responsible AI as a decision-making framework – not merely a principle, but a structured approach grounded in impact assessment: identifying who benefits and who bears the risks.
- Regulatory uncertainty as the core challenge – organisations are not facing a lack of regulation, but rather the need to operationalise requirements under the AI Act without fully developed technical standards or clear interpretative guidance.
- AI governance as a continuous system – effective governance extends beyond static policies and includes risk classification, accountability structures, data governance, and post-deployment monitoring.
- No evidence of an “AI exodus” from the EU – despite recurring claims in public debate, there is currently no reliable data confirming that AI development is leaving the European Union due to regulatory frameworks.
They also explored more complex and often less-discussed questions, such as:
- what compliance with AI regulations actually costs – and why there is no universal answer,
- how to balance experimentation and deployment, including the role of regulatory sandboxes,
- why well-designed governance frameworks can accelerate, rather than hinder, AI adoption.
This conversation may be of particular interest to professionals working at the intersection of AI, law, and business.
