Agentic AI is entering production. Are you ready to stand behind it?
In financial services, agentic AI systems are no longer experimental prototypes — they are acting in real environments. With increasing autonomy comes increasing responsibility. Policies, principles, and slide decks are not enough.
The real question is: Where is your evidence of responsible AI?
On March 18, leading voices from regulation, industry, and academia come together to explore how responsible AI governance becomes operational — and measurable. The event is co-organised by the Trustworthy AI Circle, LatticeFlow AI, ETH AI Center, and Unique. Anna Fedorova from the Responsible AI Innovation (RAI) Group of ZHAW Centre for Artificial Intelligence (CAI) contributes in her role as organiser of the Trustworthy AI Circle, helping to foster dialogue between research, regulation, and practice.
At the heart of the session is an exclusive deep dive into the first FINMA-aligned technical blueprint, demonstrating how high-level expectations can be translated into concrete, auditable controls — and how institutions can generate verifiable evidence on safety, performance, and oversight readiness. With perspectives from the Swiss Financial Market Supervisory Authority and technical leaders from Accenture, Unique, and LatticeFlow AI, the discussion focuses on a crucial shift:
From governance as intention → to governance as accountable practice. If you are responsible for approving, overseeing, or deploying AI systems in banking, this conversation is about more than compliance — it is about building systems that earn trust. Because trust in AI is built on evidence, not promises.
Register here: https://lnkd.in/eBxZai_N. Apéro after the session.
