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'Disastrous' lack of diversity in AI industry perpetuates bias, study finds

The AI field is dominated by white men which causes certain models to be flawed that make decisions based on gender and racial biases.

A New York University research centre says there is a “diversity disaster” within the AI industry. The field is dominated by white men which causes certain models to be flawed that make decisions based on gender and racial biases.

This is a fundamental problem that needs to be tackled because if we look at the diversity within AI classes at university, 80% of AI professors are men and men currently make up 71% of the applicant pool for AI jobs in the US. By tackling this applicant pool the field could be more diverse, which would also benefit the AI industry because women or other racial groups look to have different cultures and perspectives on things. In the US, senators have proposed a legislation that make companies more than $50 million per year or hold information on at least 1 million users should be evaluated for algorithmic biases. We at Kantify understand this problem and that is why our CEO, Segolene Martin, is an ambassador for Women In AI in Belgium, in order to inspire women to become active in this very interesting field.

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