Challenging Bias in Big Data user for AI and Machine Learning

The CHARLIE project aims at challenging the bias in big data used for AI and machine learning by bringing a greater level of awareness regarding the negative impacts of the lack of a critical and ethical approach to techEd.

CHARLIE objectives are to:

  1. increase the capacity of HE institutions to provide its students online learning opportunities that meet society needs but also are tailored to students learning needs;
  2. increase Tech students social and ethical competencies, allowing them to engage positively, critically and ethically with AI/ML technology;
  3. equip teachers/professors with digital and engaging approaches to effective teaching the topic (especially in online teaching);
  4. create synergies between HE organisations and AE and Youth at regional level in the field of AI ethics education;
  5. potentiate the transferability of academia courses on AI biases to AE and VET;
  6. raise awareness about the topic at society level.

Tietoa projektista


ISQ e-learning, SA (Portugali)

Vaasan ammattikorkeakoulu – VAMK (Suomi)

Innovation Training Center, S.L. (Espanja)




Projekti pähkinänkuoressa

Projektin nimi: Challenging Bias in Big Data user for AI and Machine Learning

Projektin kesto: 30.12.2022 – 29.6.2025

Rahoitusohjelma: EU, Erasmus+

Projektinumero: 2022-1-ES01-KA220-HED-C461966C

This project has been funded with support from the European Commission. This publication [communication] reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Ota yhteyttä!

Tanja Oraviita


+358 40 163 2940