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Fully Funded Training on Responsible AI for Educators and Researchers

SPRITE+ funded training on responsible AI, run by JournoTECH

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Fully Funded Training on Responsible AI for Educators and Researchers
Fully Funded Training on Responsible AI for Educators and Researchers

Time & Location

01 Dec 2025, 10:00

Online

About the event

This SPRITE+ funded training focused on enhancing and increasing the capacity of educators and researchers to integrate Artificial Intelligence responsibly into their teaching and research practices, with a strong emphasis on ethics, data privacy, and digital trust.


Participants explored how AI tools can be used responsibly in education and research, with a focus on data privacy, digital trust, and ethical practices. The training will combine expert talks, interactive discussions, and practical demonstrations of AI tools that allow participants to perform both short and large-scale analyses efficiently. Participants also learned how to use industrial-grade AI tools without any coding, enabling fast, accurate, and responsible decision-making in their teaching and research workflows.


Trainers included experts in building responsible AI tools for researchers and educators, as well as specialists in data privacy, ethics, and digital trust who will share practical insights and real-world applications. The training also helped JournoTECH launch the Responsible AI Toolkit for Educators and Researchers, a practical resource developed to support teaching and research practices globally.


Who Should Apply

JournoTECH welcomed applications from:

  • Educators, lecturers, and academic staff at all levels (primary, secondary, or higher education)

  • Researchers and research support professionals, including PhD students

  • Practitioners and innovators exploring responsible and ethical use of AI in academic or educational contexts


Event Format: Online (two days)

Dates: December 1–2, 2025


Join JournoTECH to build a community of educators and researchers committed to advancing responsible, ethical, and inclusive AI practices in education and research.

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