Ethical framework for AI in education

As Artificial Intelligence (AI) becomes increasingly integrated into various facets of our lives, including the educational domain, it is important to apply ethical principles to guide the development and deployment of AI systems. This ethically guided approach aims to mitigate potential harms or discriminatory outcomes resulting from AI algorithms. As a result, various ethical regulations and guidelines for AI ethics have emerged at the corporate, national, and supranational levels. However, the literature has paid relatively scant attention to the specific ethical considerations within the domain of AI in Education (AIED). AIED ethics represents a complex intersection, necessitating the combination of general AI ethics and the ethics of educational technology. This research aims to find the key constituents of an ethical framework for educational stakeholders of AIED that can be used to identify ethical issues in an AIED system. In this paper, we outline the methodology employed in this research to create an ethical framework for AIED. A systematic literature review will first look into the ethics of AI, the ethics of education and the ethics of AIED to consolidate the Ethical Values (EVs) and Ethical norms (ENs) for AIED ethics. Building on this knowledge from the literature, additional ENs will be collected through stakeholder consultation. These ENs will then be ranked by experts and used to form an ethical framework.