AI Competence Needs Assessment and Critical AI Literacy Training
We assess the AI competence needs of organisations, teams and diverse target groups and develop tailored training formats. The focus is on critical AI literacy: recognising bias, using AI reflectively, developing governance requirements and applying AI responsibly.
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Artificial intelligence is fundamentally changing research, innovation and organisational processes. To use AI systems in a high-quality, transparent and socially responsible way, organisations need more than basic technical knowledge. They require critical analytical competences, including an understanding of data and model bias, the limitations of automated decision-making systems, legal and ethical frameworks, and the ability to assess AI applications in context.
From needs assessment to effective competence development
Our approach combines a structured needs assessment with target-group-specific training. First, existing competences, fields of application, uncertainties and organisation-specific risks are assessed. Based on this analysis, training modules are developed that connect to real work processes and make critical AI literacy practically applicable. The service is suitable for research teams, managers, administrative units, project developers and research funding organisations.
Our offer:
- Bedarfsanalyse zu KI-Kompetenzen, Rollenprofilen und organisationalen Anforderungen
- Entwicklung zielgruppenspezifischer Trainingsmodule zu kritischer KI-Literacy
- Workshops zu Bias, Fairness, Transparenz, Explainability und verantwortungsvoller KI-Nutzung
- Analyse konkreter KI-Anwendungsfälle aus Forschung, Innovation, Verwaltung oder Förderpraxis
- Handlungsempfehlungen für Kompetenzaufbau, Governance und nachhaltige Implementierung
Research groups
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Our partners and funders
Das sagen unsere Kunden
Further products and services
Avoiding bias in evaluation policies, processes and practices as a service for research and funding organisations
Designing innovation processes with diversity in mind, so as to systematically incorporate different perspectives into the development, decision-making and impact of innovations
Systematically integrate inclusive gendered innovation into funding schemes, evaluation procedures and decision-making processes in order to make research more just, more relevant and more socially impactful
Estimation of regional effects and impacts based on grid data
Ex-ante, interim and ex-post evaluations as well as ex-ante and ex-post impact assessments
Austria's unique collection of regional economic information
JOANNEUM RESEARCH POLICIES, together with AIT, ZSI and supported by Fraunhofer ISI, form the Mission Facility Austria.
Calculation models for the predictive planning and optimization of maintenance measures
Analyse regional economic effects – differentiated and comprehensive
Take social diversity into account when planning and implementing research and innovation projects
Targeted planning of experiments for more efficient data acquisition