The introduction of machine learning, LLMs, generative AI, and agents has started a new era in IT that introduces conceptually new kinds of tools. This is not an incremental improvement like those we have seen with other technologies. These technologies give us great opportunities to do new things, or to do old things better, but they also introduce conceptually new types of problems and potential issues.

 

While we have frameworks to handle traditional risks, we lack the same for AI, or we are still in the very early stages of developing them. An even bigger risk stems from the fact that new technologies also create new kinds of risks. Applying existing views and mentalities may result in blind spots and unknown unknowns. The goal of this discussion is to raise awareness and direct attention to these new and potentially overlooked risks.

 

Discussion Points:

- How are these new tools fundamentally different.

- Deterministic vs probabilistic outputs.

- Risk vs regulatory requirements.

- Prompt hacking, prompt engineering, input filtering, output filtering.

- Trust and reliability of foundational models.

- Human final decision or lack of.

- Agents, MCP, APIs, CLIs.

 

Be prepared to share your experiences in this exclusive small gathering.

 

About the discussion:

- For leaders in highly regulated industries with a focus on AI implementation and governance

- In English

 

We have only 10 spots, so be quick to sign up! If you cannot make it, make sure to cancel your participation to give space for others.

 

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