Impact AI Method - Technical Interview Guide
This technical interview guide is part of the materials provided for the Impact AI Method, which was developed within the Impact AI project, a transdisciplinary research project at the Alexander von Humboldt Institute for Internet and Society. The Impact AI Method is designed for a holistic yet practice-oriented impact assessment of running AI use cases. The framework aims to assess the implications a given AI use case has for people, society, and the planet. The technical follow-up interview is conducted with the technical lead of an AI use case and follows the technical survey/ AIMS-Templates, which are also part of the Impact AI Method. The technical interview consists of two parts: 1) follow-up questions on the completed technical surveys, 2) some additional questions to get a deeper understanding of relevant aspects of the AI system.
Authors
- Theresa Züger (ORCID: https://orcid.org/0000-0002-4852-7560)
- Laura State (ORCID: https://orcid.org/0000-0001-8084-5297)
- Lena Winter (ORCID: https://orcid.org/0009-0006-9053-8825)
Institutions
- Alexander von Humboldt Institute for Internet and Society (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-08
- DOI
- https://doi.org/10.5281/zenodo.23188330
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00