Generative artificial intelligence (AI) has potential to make the work of creating OER a lot less labour-intensive. From generating images or multiple-choice questions to translating OER into local languages, the possibilities are endless. However, generative AI also has significant flaws and ethical issues that need to be considered carefully before deciding to use generative AI in OER projects. This includes things like bias and closed training data, copyright violations and uncertainties, and environmental impacts. This poster provides OER creators with a list of key things to keep in mind when deciding if and how they want to use generative AI in their OER projects. The poster lists ideas of how generative AI could contribute, considerations and risks to keep in mind, and guidelines and recommendations for those who decide to move forward.
Attendees of this session will be able to:- List ways that generative AI could be used when creating or adapting OER.
- Understand the limitations, flaws, and harms that are found with generative AI.
- Critically reflect on why you might or might not use generative AI for specific purposes.
- Identify practices to put in place to ensure your use of generative AI in an OER is transparent and results in accurate and equitable content.
