As artificial intelligence (AI) continues to reshape industries and transform workplaces, it's imperative that organizations and leaders examine not only its impact on , innovation and , but also the ethical implications tied to these transformative technologies. Integrating an equity, diversity and inclusion (EDI) lens into AI systems is no longer a luxury or optional. It's essential to ensure AI benefits everyone, including equity-deserving groups such as women, Indigenous Peoples, people living with disabilities, Black and racialized people, and 2SLGBTQ+ communities.
Without this commitment, AI risks reinforcing the existing biases and inequalities, including those based on gender, race, sexual orientation, and visible and invisible disabilities. We already know the deep impact of AI on and recruitment, but its impacts go beyond that. While , equally critical are the ethical concerns surrounding its development and deployment.
These issues have profound implications for leadership, trust and accountability. Leaders and organizations need greater supports, education and guidance to responsibly guide AI's integration into the workplace. The need for ethical AI AI has the potential to shed light on and address systemic discrimination, but only if it's designed and used ethically and inclusively.
Machine learning algorithms learn patterns from large datasets, but these datasets often reflect existing biases and underrepresentation. . As a scholar and practitioner, I know that .