The session will cover both the risks of AI in perpetuating bias and the opportunities for AI to support diversity and inclusion initiatives globally. Risks include algorithmic bias, discrimination, lack of transparency in AI models, unequal access to technology, data privacy concerns, and the risk of homogeneous teams overlooking diversity in AI ethics frameworks. In addition, automation raises questions about job displacement and the fair distribution of economic benefits. Conversely, AI offers opportunities for bias detection and mitigation, improved accessibility through tools such as real-time translation and speech-to-text, and personalised learning experiences that can support students from diverse backgrounds. Fostering diversity within AI development teams can produce more inclusive systems.