White papers
Published: 29 September 2021

A Holistic Guide to Approaching AI Fairness Education in Organizations

As companies around the world increasingly use artificial intelligence (AI) in their decision-making processes, there is an ever greater risk of creating or reinforcing unfair bias. This can have serious repercussions not just for individuals, but for a company’s brand reputation, employee satisfaction, sales and compliance with regulatory standards. In response, organizations have begun to educate their workforces on ethical and responsible AI design, deployment and use, and the need for a set of robust AI fairness principles. With this in mind, the World Economic Forum Global Future Council (GFC) on Artificial Intelligence for Humanity, comprising 24 world experts in the field, formulated a consensus on a holistic approach to AI fairness education, outlined in this white paper.

As companies around the world increasingly use artificial intelligence (AI) in their decision-making processes, there is an ever greater risk of creating or reinforcing unfair bias. This can have serious repercussions not just for individuals, but for a company’s brand reputation, employee satisfaction, sales and compliance with regulatory standards. In response, organizations have begun to educate their workforces on ethical and responsible AI design, deployment and use, and the need for a set of robust AI fairness principles. With this in mind, the World Economic Forum Global Future Council (GFC) on Artificial Intelligence for Humanity, comprising 24 world experts in the field, formulated a consensus on a holistic approach to AI fairness education, outlined in this white paper.

The report can be used by diverse organizations to guide them in educating teams about their role in advancing AI fairness. It examines six functions within an organization that have a particular role in operationalizing AI fairness and delineates the responsibilities of the team in contributing to AI fairness outcomes, as well as the competencies and training that should be measured and provided for. The report also includes recommendations on further efforts needed to improve AI fairness outcomes beyond education. Learn more about the GFC’s work on AI fairness here.

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