Generative AI is a type of artificial intelligence (AI) that is able to create new content, such as text, images, music, or entire datasets, based on patterns and information it has learned from existing data. While traditional AI systems are mainly used to analyze existing data and make predictions, generative AI takes this one step further by creating new data similar to the data it accesses. When an AI technology is creating something by itself, this is called “generative AI” or “GenAI”.
https://genai.ubc.ca/
Generative AI (GenAI) is rapidly transforming how we conduct research, scholarship, and teaching and learning. While we engage in this work we will need to grapple with what it means to include GenAI as organizations and institutions develop policies, best practices, and limitations to GenAI use. Each module in POSE will address the emergence of GenAI and it’s impacts on the area of open access, open research, and open scholarship. As this is an emerging area, much of what will be contained in the modules will be debates, discussions, and the potential benefits and risks of of GenAI in these areas. POSE will not offer training in GenAI use or application in scholarship and education but will provide specific information related to open scholarly practices. The Activity Bank will also provide a space to actively engage in GenAI topics and tools related to open access, open education, and open research.
While understanding the basics of GenAI will be helpful to engaging in the POSE content, the modules should contain enough details to understand how GenAI is impacting open access, open research, and open education. The following outlines how GenAI is covered in each unit:
Open Access
The Open Access Unit will cover issues related to GenAI and publishing, with a particular focus on its impact on open access. The following is covered in the unit:
- Academic publishing and GenAI – Including the opportunities and challenges of GenAI and publishing practices
- Authorship and GenAI – Including discussion on ethics of authorship, originality and GenAI, and the complexities of copyright
Open Research
The Open Research Unit will cover issues related to GenAI and research, with a particular focus on its impact on open scholarship. The following is covered in the unit:
- TBD
Open Education
The Open Education Unit will cover issues related to GenAI and teaching and learning, with a particular focus on its impact on education. The following is covered in the unit:
- GenAI as a Tool for OER – Inlcuding the potential for creation, adaption, and remixing using GenAI tools, the tensions and ethical considerations of using GenAI, and recommendations on using the tools for generative OER
- GenAI and Open Licenses for OER – Including ways to mitigate the GenAI use if openly licensed content for training
- Ethics and Tensions in using GenAI in Open Education.
Resources
If you are interested in learning about GenAI and the current landscape for teaching, learning, and scholarship, the following resources will give you a good introduction and may support your learning when completing the POSE Units:
