Criteria for selecting artificial intelligence tools and systems for educational purposes

Any AI tool or system used in education must uphold the principles of privacy and transparency while avoiding bias in its results. Students have the right to safe and ethically responsible technology use, which includes protecting their personal data, ensuring anonymity where possible, and providing clear communication about how data is collected, processed, and used to improve learning. Failure to comply with these principles can lead to a loss of trust in the education system and may result in technology indirectly creating inequality among students.

Example:

1. Turnitin, a system for checking the originality of student work, uses artificial intelligence methods to detect plagiarism. It emphasises maintaining confidentiality and data security. The student's identity remains protected, and all data processing is conducted in accordance with the applicable legislative framework for personal data protection, such as the General Data Protection Regulation (GDPR) in Europe. Additionally, the system's transparency allows students and teachers to understand how the algorithm works and to access the results of the analysis, reducing the risk of injustice and helping maintain trust in the evaluation process.
2. Khan Academy uses artificial intelligence in its personalised learning system, with clearly defined procedures for protecting user privacy. Data is processed in a way that prevents the identification of individuals and is not shared without explicit consent. The system is designed to minimise bias in recommendations, ensuring equal opportunities for all educational stakeholders to access and progress in learning, regardless of their initial conditions or specific circumstances.

   Special attention is given to the responsible use of technology to prevent the creation or deepening of existing differences in educational outcomes among different groups of students. This helps create a more equitable and inclusive educational environment.

   This approach strengthens the trust of all educational stakeholders in the use of artificial intelligence in education, as higher education institutions, teachers, and students can be confident that the technology serves their interests and is a pedagogically responsible tool that enhances teaching and learning processes.