An interactive workshop with Joe Houghton - November 7th 2024

Summary

This workshop explores the ethical use of generative AI for research in higher education.
Key considerations for educators include data privacy, accessibility features, bias awareness, and collaborative capabilities.
Recommended AI tools for research include Notion, Perplexity, NotebookLM, and Claude, each offering unique features for content generation and organization.
AI-powered literature review tools like Elicit can streamline research processes while adhering to UDL principles.
AI-based accessibility enhancements, such as Otter AI and Microsoft's Seeing AI, make research more inclusive and accessible.
The workshop emphasizes the importance of ethical considerations and UDL principles when integrating AI into research practices.

Key Considerations for Educators Using AI in Research

Here are a few points to consider when using the current generation of AI tools to conduct research of any kind:

Data Privacy and Ethics: Ensure the AI tools used do not compromise sensitive research data. Choose platforms that prioritise data protection and offer clear privacy policies.
Just because we are using AI doesn’t mean ethical principles change…

Accessed 3rd Nov 2024 from https://www.publichealthnotes.com/wp-content/uploads/2020/10/research-ethics-photo.png

Accessibility Features: Select AI tools that align with UDL principles by offering multiple means of representation, engagement, and expression. Look for features like text-to-speech, image description, and customisable interfaces.
Bias Awareness: Be mindful of potential biases in AI-generated content. Cross-reference information from multiple sources and encourage critical thinking among students.
Collaborative Capabilities: Prioritise AI tools that facilitate collaboration, allowing diverse learners to contribute effectively to research projects.
Customisation for Diverse Needs: Choose AI platforms that can be tailored to accommodate various learning styles and abilities, supporting the core tenets of UDL.
Continuous Learning: Stay updated on AI advancements and their implications for accessibility and inclusive education. Regularly reassess and update your toolkit.