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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
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
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
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

Visits by Country (All Visitors)
Singapore Singapore
62.1%
Indonesia Indonesia
13.6%
United States of America United States of America
10.0%
Bulgaria Bulgaria
6.3%
Hong Kong Hong Kong
2.5%
Viet Nam Viet Nam
1.0%
Total: 76
Visits from Project Partners
(number of visits)
България България
1021
Полша Полша
64
Испания Испания
24
Италия Италия
12
Малта Малта
88
Total: 1209
024515