"However, I worry about the ethics behind AI setting us back in our strive of diversity and inclusion in tech teams," said Opal."There are companies that use AI-hiring tools to find the right candidate, but it's become common knowledge that some of these AI systems select an ideal candidate that tends to be white, male, heterosexual, able-bodied, or without hidden disabilities.”
The company said it reduces bias in AI through a combination of data collection, model design, regular evaluation, and the incorporation of ethical guidelines. But the elephant in the room remains - bias in AI datasets is a problem in the hiring process for minorities. Chaffey adds another viewpoint on the debate of using AI in the hiring process to reduce bias, saying it depends on what you use AI for.
"We don't automate decision-making, and we don't filter out non-diverse candidates either," said Chaffey. "We need to step back from the novelty and excitement of what AI can achieve and rethink in some areas, so we don't continue to build on the bias that already exists in this emerging technology to ensure we have enough relevant data to so that AI is developed and contributed to by all, for all," said Wilson.
"Overall, they've adjusted the conventional hiring process to support neurodiverse candidates," added Wilson. Opal adds that companies need to be honest with their users about the data they use and where it is sourced, especially if the data has biases that can cause harm to minorities trying to get into the industry.
"Hackajob's matching engine understands the company's hiring priorities and can prioritize those candidates, but there is no way for the company to know what candidates on the list are male or female - that data is not served to the company," said Chaffey."Hackajob is also NOT excluding candidates from the lists of candidates they serve up to companies."
"If we don't continue to build on the bias that already exists in this emerging technology to ensure we have enough relevant data so that AI is developed and contributed to by all, for all," said Wilson. Chaffey says there is no doubt that humans will always need to be involved in recruiting and are inherently biased, creating challenges.
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