Artificial Intelligence (AI) has the potential to enhance accessibility and promote inclusion, yet it often reinforces systemic inequities that marginalize disabled individuals. In this chapter, I argue for a transdisciplinary approach to AI and disability justice, emphasizing that AI development often overlooks disability justice, repeating ableist biases and exclusionary design practices. People with disabilities should not be seen as passive users of AI. Instead, they must be recognized as integral collaborators, shaping design and policy decisions. Without participatory design and justice-centred approaches, AI risks perpetuating harm rather than promoting meaningful change. This chapter explores how transdisciplinary research (TDR) and User-centred design (UCD) provide essential frameworks for equitable AI oversight by integrating principles from disability studies, critical AI ethics, and human-centred design. Acknowledging marginalized voices is essential for developing fair and inclusive AI and ensuring technology serves those it has historically excluded. By prioritizing equity, challenging systemic ableism, and including disabled individuals as co-creators of AI solutions, we can develop technologies that do more than accommodate disability; they must actively empower and support autonomy.