AI provides new and exciting opportunities but there are also many ethical challenges such as privacy, accuracy, property rights, accessibility and other aspects of trustworthiness. A multidisciplinary discussion, support and collaboration is needed between companies, researchers, policymakers and those who use AI-related tools not only in schools but also in working life. This sub-project is about ethical issues that are related to Artificial Intelligence (AI) in schools and in working life.
The sub-project has three main questions: 1) What are the main challenges of the ethical issues concerning AI-related practices in school contexts and in working life? 2) How AI-related issues could be solved in order to support equity and lifelong learning at different levels of education as well as in working environments? 3) What kind of support and collaboration (policymakers, schools, universities) is needed in companies in order to develop ethically sustainable services and products? Data is obtained by qualitative and quantitative methods such as interviews, textual analysis and surveys. Semi-structured interviews of different stakeholders are used in order to have deeper understanding about the ethical challenges in companies nationally and globally. The four companies of the AI in Learning ecosystem participate in this research project. There is also collaboration with Stanford University.
Professor, scientific leader
UNESCO Chair on Educational Ecosystems for Equity and Quality of Learning
Researcher, PhD (Science Education)
Coordinator, AI in Learning Program