A Dictionary for Governing Machine Learning in Banking and Insurance

FLAIG partner Aalto University represents: “Trustworthy AI, Defined. A Dictionary for Governing Machine Learning in Banking and Insurance.”
 

Key Deliverables: 

  1. Dictionary of Applied Machine Learning. Springer Major Reference Work, forthcoming, edited by Jung, Schnoor and Olioumtsevits. It consolidates the trustworthy-AI terminology developed in FLAIG into a rigorous shared vocabulary for practitioners, auditors and regulators in finance.

  2. Companion site dictionaryofml.org. Open course edition under CC BY 4.0. Each entry has a typeset definition plus a runnable Python script, so definitions can be tested rather than only read. Archived on Zenodo.

  3. Guest lectureship in Corporate AI at IMC Krems. Course design and lecturing in Corporate AI, Trustworthy AI and Federated Machine Learning for business students. It embeds FLAIG’s methods and finance test-cases in an applied-AI curriculum.

The research approaches include:

  • Systematic literature reviews
  • Co-creation with business partners
  • Case studies from various fields
  • Regulatory analysis and research
  • Publishing research results