The DOI matches its Crossref record.
A Driving License for Intelligent Systems
Open accessAbstract
Artificial Intelligence (AI) is becoming increasingly important. Thus, sound knowledge about the principles of AI will be a crucial factor for future careers of young people as well as for the development of novel, innovative products. Addressing this challenge, we present an ambitious 3-year project focusing on developing and implementing a professional, internationally accepted, standardized training and certification system for AI which will also be recognized by the industry and educational institutions. The approach is based on already implemented and evaluated pilot projects in the area of AI education. The project’s main goal is to train and certify teachers and mentors as well as students and young people in basic and advanced AI topics, fostering AI literacy among this target audience.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Even though AI education represents an urgent goal to be pursued in the context of combating disinformation, the delay in dissemination programmes stems from the ongoing debate on what constitutes relevant AI knowledge.
“Even though AI education represents an urgent goal to be pursued in the context of combating disinformation, the delay in dissemination programmes stems from the ongoing debate on what constitutes relevant AI knowledge (Hermann, 2022;Kandlhofer & Steinbauer, 2018;Long & Magerko, 2020;Mikalef & Gupta, 2021):”
From Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project (2026) · cites this paper as Kandlhofer & Steinbauer, 2018
Citations
Cited by
Sorted by citations
Explicating AI Literacy of Employees at Digital Workplaces
Cetindamar, D., Kitto, K., Wu, M., Zhang, Y., Abedin, B., & Knight, S. (2024) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2021.3138503 · Cited by 239
Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project
(2026) · University of Maribor Press · doi:10.18690/um.feri.2.2026
Metadata
- Authors
- Kandlhofer, M., & Steinbauer, G.
- Affiliations
- Graz University of Technology (AT)
- Venue
- Proceedings of the AAAI Conference on Artificial Intelligence
- Published
- 2018-04-27
- Volume
- 32
- Issue
- 1
- ISSN
- 2159-5399 (ISSN-L)
- 2374-3468
- OpenAlex
- W2805247394
- Cited by
- 10
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2022: 2 · 2021: 1 · 2019: 1
- FWCI
- 0.39
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Proceedings of the AAAI Conference on Artificial Intelligence (publishedVersion)
- AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (submittedVersion)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Information Systems › Information Systems Education and Curriculum Development
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Keywords
- artificial intelligence in education, AI literacy, AI certification, professional training, AI workforce development, pilot project
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review