How can companies ensure that the use of artificial intelligence and machine learning in candidate assessments does not introduce biases or perpetuate existing inequalities in the recruitment process?

Companies can ensure that the use of AI and machine learning in candidate assessments does not introduce biases by regularly auditing and monitoring algorithms for any biases that may arise. They can also ensure diverse training data sets to prevent the perpetuation of existing inequalities. Additionally, providing transparency in the decision-making process and involving a diverse group of stakeholders in the design and implementation of AI systems can help mitigate biases in recruitment processes. Regularly updating and refining algorithms based on feedback and outcomes can also help address biases and inequalities.