As artificial intelligence (AI) becomes increasingly integrated into many aspects of our lives, it is essential to ensure that decisions made by autonomous systems are fair, transparent and ethical. After all, these systems are being used in critical areas such as healthcare, justice, finance and much more, and their decisions can have significant impacts on people’s lives. One of the main ethical challenges in AI is ensuring impartiality and the absence of bias in algorithms. AI systems are trained based on historical data, and if that data contains bias, the system can reproduce and amplify that bias in its decisions. Therefore, it is essential to carry out a careful analysis of the data used to train the algorithms and implement measures to mitigate any existing bias. Furthermore, transparency is essential to ensure trust in decisions made by AI systems. Users must understand how algorithms work and how they reach certain conclusions. This means that AI developers must adopt transparent and explainable development practices, providing detailed documentation about how algorithms work and the data used in training. During the seminar, we will cover a variety of topics, including:

• Fundamental ethical principles that should guide the development and implementation of AI systems in education.
• Specific ethical challenges associated with the use of AI algorithms in decision-making, evaluation and teaching personalization processes.
• Issues of equity, justice and transparency related to access and use of AI technologies in the classroom.
• The role of educators and educational institutions in promoting ethical AI practices and students’ digital literacy.
• Approaches to ensure the privacy and security of student data in AI-powered educational environments.