Generative AI risks marginalizing disability knowledge in higher education

A new research paper explores how generative AI systems in higher education can inadvertently marginalize knowledge from underrepresented groups, particularly individuals with disabilities. The study highlights that current AI training data, often biased towards Western and Anglophone perspectives, reinforces existing epistemic coloniality. It examines the potential for human-AI collaboration to maintain epistemic diversity, while cautioning against relying solely on algorithmic solutions for inclusivity. AI

IMPACT Generative AI's training data biases may exclude or misrepresent knowledge from marginalized groups, necessitating careful consideration for equitable AI development in academia.

RANK_REASON This is a research paper published on arXiv concerning the societal impact of AI. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• disabilities
• disability studies
• Fatiha TALI OTMANI
• Generative artificial intelligence
• higher education

• paper
• safety
• policy

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →