Trustworthy AI Risk Management Workshop

This personalized workshop for SMEs will help you to understand and mitigate the ethical, legal, organizational, and technical risks inherent in AI projects within your organization.

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Description

AI systems that interact with humans, sensitive data, or critical infrastructure require more than technical excellence — they require responsible governance and structured risk management. While the European Union’s AI Act might make exceptions for many research and development use cases, it is important address those aspects “by-design,” particularly if you are potentially targeting “high-risk” AI.

Our Trustworthy AI & Data-Related Risk Management Workshop helps SMEs understand and mitigate the ethical, legal, organisational, and technical risks inherent in AI projects. This short workshop takes place in two half-day sessions, and is designed as a “crash-course” based on your needs.  You will gain an early understanding of AI-related risks related to your planned AI application without establishing a full-blown compliance process.

This service is available in English and German and is delivered by experienced HammerHAI experts with deep knowledge in AI governance, risk, and quality management. 

Workshop content

Many AI applications carry hidden risks — from unintended bias to safety concerns, privacy violations, or societal impact. Whether the effects are direct (e.g., automated decision making) or indirect (e.g., analytics that influence behavior), responsible AI requires structured evaluation.

Our coaching integrates the EU’s Trustworthy AI framework with principles reflected in ISO/IEC 42001, providing a robust and internationally aligned approach.

Our approach is built around the seven requirements for trustworthy AI:

  1. Human agency & oversight
  2. Technical robustness & safety
  3. Privacy & data governance
  4. Transparency
  5. Diversity, non-discrimination & fairness
  6. Environmental & societal well-being
  7. Accountability


You will be guided through a structured two-workshop process — conducted on-site or online — to uncover, assess, and address risks related to your AI project.

Workshop 1 — Awareness of your AI system & risk landscape

  • Fundamental perspectives for assessing AI risks (ethics vs. legal, law vs. standard, risk vs. hazard)
  • Understanding of your risk appetite and organizational capabilities
  • Discussion of relevant use cases and stakeholders, including HammerHAI
  • First Identification of most relevant data- and AI-related risks 

Interim expert analysis

Our team reviews your case in detail and conducts one-on-one interviews with internal stakeholders in your organization.

Workshop 2 — Risk mitigation & action plan

  • Reverse pitch of your use case by our experts to highlight risks
  • Practical risk identification 
  • Development of  concrete mitigation strategies for identified risks
  • Guidance on documentation, monitoring, and compliance pathways
  • Recommendations for how HammerHAI AI and data management services can support your implementation

Target users

This service is primarily designed for users of HammerHAI and other EuroHPC systems who need to mitigate AI-related risks. This includes:

  • SMEs developing or experimenting with AI systems that may affect individuals, groups, society, or the environment 
  • Companies aiming to align internal processes with ISO/IEC 42001 and upcoming harmonized AI standards
  • Teams needing support to identify, document, and mitigate AI-related risks

Applications

Our workshops are particularly valuable for companies in manufacturing and engineering, with use cases including:

  • AI systems as part of safety and security-relevant parts
  • Applications linked to the handling of behavioral or other human-linked datasets within training or inference (including anonymized data)

How to get access

Please send a brief note explaining your motivation to use this service to access@hammerhai.eu

Service provided by

Logo of the KIT. Above the black wordmark "Karlsruher Institut für Technologie" the abbreviation "KIT" can be seen in black - with the left side of the K stylized with a fan-like formation of three green and one black triangles.

Contact

Till Riedel

access@hammerhai.eu

Funding

  • The workshop is offered by HammerHAI (European High Performance Computing Joint Undertaking, Grant No. 101234027) free of charge.
  • The service was developed under the EUHubs4Data Project within European Union’s Horizon 2020 research and innovation programme under grant agreement No 951771 

Please note

  • By participating, you agree that insights and feedback from the consultation may be used to guide HammerHAI service and governance development.
  • We might ask you to participate in awareness building activities of interest to other users of the AI factory.
  • (Prospective) users of other HammerHAI services will be prioritized.
  • Limited capacity may require prioritization based on experience, ecosystem effects, and risk potentials. 

Funding

This project has received funding from the European High Performance Computing Joint Undertaking under grant agreement No. 101234027

This project is co-funded by the European Commission, the German Federal Ministry of Research, Technology and Space (BMFTR), the Baden-Württemberg Ministry of Science, Research and the Arts, the Bavarian State Ministry of Science and the Arts and the Lower Saxony Ministry of Science and Culture.

Logo of the Federal Ministry of Research, Technology and Space of Germany. A black eagle icon (coat of arms of Germany) on the left, a vertical strip in the colors of the German flag (black, red, yellow) to the right of it and even further to the right the wordmark "Bundesministerium für Forschung, Technologie und Raumfahrt".
Logo of the Federal Ministry of Research, Technology and Space of Germany. A black eagle icon (coat of arms of Germany) on the left, a vertical strip in the colors of the German flag (black, red, yellow) to the right of it and even further to the right the wordmark "Bundesministerium für Forschung, Technologie und Raumfahrt".