
TrustAI Training Incubator
TrustAI is a training incubator aimed at higher education lecturers in the field of the humanities. Its purpose is to support them with ethical knowledge, practical skills, and critical competences for the effective and responsible use of artificial intelligence in teaching.
Context and Rationale
The TrustAI training incubator has been developed on the basis of consolidated results from a survey conducted among higher education lecturers in the humanities in Bulgaria, Italy, and Poland. The study identified the main benefits, risks, limitations, and ethical challenges related to the integration of artificial intelligence into the educational process.
The key findings highlight the need for:
👉 a clear ethical and legal framework for the use of AI;
👉 practical guidance for the application of AI tools in teaching;
👉 the development of critical thinking when working with AI-generated content.
Goal
The main goal of the TrustAI Training Incubator is to equip higher education lecturers in the humanities with the necessary knowledge, skills, and ethical framework for the responsible and effective integration of artificial intelligence into their teaching practice.
What Will You Gain?
After completing the training modules, lecturers will be able to:
👉 understand the ethical and legal aspects of AI in education;
👉 use AI tools in humanities teaching;
👉 critically evaluate AI-generated content;
👉 design AI-supported learning activities;
👉 actively participate in a community for the exchange of good practices.
Structure of the Training Incubator
The TrustAI Training Incubator is structured around three key areas, comprising a total of fifteen micro-learning topics, developed as short, flexible, and modular learning units suitable for higher education lecturers.
3 key areas | 15 micro-learning topics
KEY AREA 1
Ethical and Legal Foundations of Artificial Intelligence in Education
Responsible partners: UniTo & CET
This area focuses on understanding ethical principles, legal regulations, and the responsible use of artificial intelligence in educational settings.
Micro-learning topics:
Introduction to the ethics of artificial intelligence
Personal data protection and student security
Algorithmic bias and fairness
Artificial intelligence and academic integrity
Developing policies for the use of AI in education
KEY AREA 2
Practical Application of AI Tools in the Humanities
Responsible partners: UNIBIT (ULSIT) & MECB
This area provides practical guidance and examples for the effective integration of artificial intelligence tools into teaching.
Micro-learning topics:
AI tools for supporting academic research
Generating educational content with the help of AI
Personalized learning through AI
AI-supported assessment and feedback
Enhancing accessibility through AI technologies
KEY AREA 3
Critical Evaluation and Creative Integration of AI
Responsible partners: AHE & Acta
This area develops critical thinking skills, the ability to assess the reliability of artificial intelligence, and the creative use of technologies in the humanities.
Micro-learning topics:
Evaluating AI-generated information
Promoting critical thinking in the AI era
AI and creative expression in the humanities
Designing AI-supported learning assignments
Community of practice and sharing good practices
3 key areas | 15 micro-learning topics