Potential Abstract: In this study, we investigate the potential of anti-racist chat bots to support open science initiatives within the field of education, specifically focusing on the development of schemas. Drawing on Keynesian economic principles, we explore how these AI systems can facilitate collaboration and knowledge sharing among researchers, educators, and learners. The rise of open science has brought about opportunities for greater transparency and accessibility in research, yet issues of diversity, equity, and inclusion remain prevalent. By embedding anti-racist principles into chat bot technology, we aim to address systemic biases and promote a more inclusive research environment. Our research involves the design and implementation of a prototype anti-racist chat bot that engages with users to co-create and refine schemas for educational research projects. Through a series of qualitative analyses and user studies, we examine the impact of these interventions on knowledge production, collaboration, and equity within the research community. Our findings highlight the potential of anti-racist chat bots as tools for promoting diversity and inclusion in open science practices, while also emphasizing the importance of critical reflection and ongoing evaluation in the development of these technologies. This study contributes to the growing literature on AI in education, open science, and anti-racist pedagogy, offering insights into the intersection of these fields and suggesting new avenues for future research and practice.
Potential References:
- Degrees of change: The promise of anti-racist assessment
- AI and racism: Tone policing by the Bing AI chatbot
- Modelling a socialised chatbot using trust development in children: lessons learnt from Tay
- A survey of race, racism, and anti-racism in NLP
- Resisting racism in tech design: centering the experiences of black youth
