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Numerous stories in the press have shown that machine learning has the potential to be unfair and even discriminatory. As a result, the public, regulators, and legislators are taking a hard look at AI. if your models are used for high-stakes decision making, then you will need to be able to convince these groups that your models are not discriminatory. To do this, you need to know how to assess models for evidence of discrimination and then be able to fix any problems you may find. In this talk, Nick will outline what is required for a model to be fair, discuss how different types of discrimination might make their way into a model, and then explain the algorithms and techniques that can be used to make AI fairer.