Machine learning technology is becoming increasingly common across various industries, from policing to recruiting. But reports have shown that many of these systems have long-standing problems regarding discrimination. To avoid amplifying bias, companies need to actively teach their technology to be inclusive.
There are several ways corporations can improve upon their machine learning tools. Quartz suggests assessing the wider impacts of new AI systems before implementation, as well as establishing internal codes of conduct and incentive models to enhance adherence to non-discriminatory practices. The publication also states that inclusivity and diversity should be made priorities early on, starting from the development of the design teams through the final product.
It's also important for companies to be transparent about the impact of their technology and to constantly evaluate its effectiveness, from refining algorithms to evaluating and reporting its behavior. By taking these proactive steps, there's potential for forward-thinking companies to create revolutionary AI systems without posing a risk to human rights.