SANE3 AI
Vienna · Austria
DE·EN

Heinz Ganser

Heinz Ganser at the University of Vienna
Foto: Joseph Krpelan

Heinz Ganser comes from science communication in broadcasting. He designed and directed national, European and transcontinental education projects before moving to the University of Vienna as an education researcher to ground that practice theoretically.

Today he teaches and researches at the Department of Education (Institut für Bildungswissenschaft) of the University of Vienna, with a focus on knowledge management, quality assurance, scientific integrity and source reliability. His work combines science communication, applied methodology and the examination of the quality of knowledge in education and AI. Years of teaching with and about digital media add the perspective of practical application and mediation to scientific judgement.

He is also a founding and board member of the Österreichischer Bundesverband für Medienbildung (Austrian Federal Association for Media Education) and serves as Referent für Künstliche Intelligenz (AI officer) of the Digitale Bildungsgesellschaft.

SANE³ AI

SANE³ AI grew out of long-standing cooperation with ministries, universities, institutions and companies in science communication, education and artificial intelligence. The advisory network makes this expertise generally accessible.

It addresses research institutions, education providers, organisations, companies and individuals who wish to have studies, publications, educational programmes or AI services — their own or others' — independently assessed, or who seek scientific guidance beforehand. At the centre are the professional soundness of the services offered, the quality of their knowledge and data foundations, the rigour of their scientific justification and the limits of what can be verified. Expert reports and judgements are produced without any sales interest and without financial participation in the purchase of the service assessed.

Our network

The network brings together scientists from the natural sciences, social sciences and humanities, practitioners from software and hardware projects, and specialists from the most varied areas of business. Their perspectives add experience from practice to scientific judgement.

We deliberately refrain from publishing a list of the specialists working in the network. Confidential assessments may require that their involvement is not disclosed to the providers under examination. For individual engagements the role of the examining persons is therefore not disclosed to them either. Whether and under which conditions this is permissible is clarified in advance.

For clients the opposite applies: for each engagement and project you receive full transparency on the people involved, their qualifications and responsibilities, and on the methods, tools and AI systems used. Data paths, possible conflicts of interest and the limits of the examination are disclosed as well.

Keeping the team non-public protects the agreed framework of the examination. It replaces neither personal responsibility nor methodological accountability.

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