Regulation as a Framework for Responsible AI Adoption
On 25 February 2026, the Tech Council opened a very important topic on the adoption of AI and regulation. The members asked themselves how can regulation enable safer and more effective AI adoption without slowing its progress.
First we heard from Saša Sodja, Partner at CMS Reich-Rohrwig Hainz Attorneys-at-law, who outlined the key elements of the AI Act and the broader regulatory environment. Rather than seeing regulation as an obstacle, she showed how it drives clearer accountability, oversight, and governance. Regulation may introduce complexity, but it also pushes organisations to define responsibilities and set clear internal frameworks for AI adoption. In doing so, it creates the structure needed for responsible, long-term implementation.
Moderated by Gregor Kovačič, Director of Digital Operations and Client Experience Division at Zavarovalnica Triglav and Council Co-Chair, the discussion then moved to how regulation translates into practice.
Nastja Stošič shared how AI is already integrated into processes at Zavarovalnica Triglav, including when it comes to claims handling. AI supports automation and efficiency, yet it is not entrusted with legal or economic decisions. It remains a tool that assists employees rather than replacing professional judgement. Clear boundaries and defined use cases are essential, particularly where personal data is involved.
From the telecommunications perspective, Damjan Hohnec explained how A1 Slovenija applies AI in its services, including chat and voice bots that provide 24/7 support. The focus goes beyond internal process optimisation to offering assistance that feels as reliable and helpful as speaking to a human agent.
With personal data protection being an important aspect of responsible AI adoption, Council members reflected on how data can be safely used across products and servicesv. They also considered when additional safeguards, such as anonymisation of personal data witihin AI systems in sensitive cases, are required and when customers should be clearly informed that their data is being processed using AI.
We also recognised that this is largely a matter of mindset. Europe’s cautious regulatory culture, compared to China and the US, may slow certain developments, yet it places strong emphasis on user protection and long-term trust. Regulation inevitably adds complexity, but it also establishes the safeguards that make responsible AI adoption possible.
Thank you to Zavarovalnica Vita for hosting the session and to Tine Pust, Member of the Management Board, for welcoming Council members.
