This presentation delves into the ethical, legal, and societal dilemmas posed by AI technologies in the context of open education. Open education approaches are often associated with related concepts (critical pedagogy, OER, OEP, open science). There are exciting visions for leveraging AI technologies but an authentically “open” approach to AIED is nascent. 'Explicable AI' (XAI) attempts to address AI's opaqueness, advocating for systemic, environmental and socio technical transparency. However, most XAI understates the complexity of finding language and concepts that are explainable and interpretable to all stakeholders. There are also unresolved legal questions regarding the use of AI to produce OER: is it an interesting subversion of copyright, or a mechanism for ‘stealing’ copyrighted content and transferring it to the public domain? It’s essential that we enculture transparency if we are to understand the full social and environmental impact of AI.
Attendees of this session will be able to:- Nuanced understanding of the relationship between open education and AI
- Exploration of the impact of generative AI on The Commons
- Reflection on the relevance of AI for open practice
- Refinement of concepts relevant to open education and AI in education
