Responsible AI / Panelist

Rainer Hoffmann



Rainer Hoffmann is the chief data officer at EnBW, where he drives the scaling of data and AI initiatives toward shaping a sustainable energy future. Concurrently, he is an adjunct lecturer at the Karlsruhe Institute of Technology (KIT), where he teaches the course Responsible Artificial Intelligence. Previously at EnBW, he was accountable for the Data & Analytics Excellence program, was a data scientist in energy trading, and established algorithmic trading. Hoffmann is an industrial engineer and has a doctorate in stochastic optimization from KIT and a professional certificate in AI from MIT.

Voting History

Statement Response
Organizations are sufficiently expanding risk management capabilities to address AI-related risks. Disagree “My insights into the European AI ecosystem show that companies have yet to prioritize risk management specifically for AI systems. Traditionally, risk management has been viewed as a subset of the responsibilities held by product managers and developers within their daily tasks. Additionally, while considerations for information security risks are made, these represent merely a fraction of the potential risks associated with AI.

However, with the introduction of the European AI Act, which mandates risk management for high-risk applications, organizations are beginning to acknowledge the importance of AI-related risk considerations. Despite this progress, the act’s focus on high-risk applications alone leaves me skeptical about the comprehensive addressal of AI-related risks across all applications.”