No. Even if explicit personal factors like gender, race, or sexual orientation are removed, AI algorithms can still learn to discriminate based on other variables correlated with these factors. For instance, an algorithm trained on historical hiring data might learn to favor certain keywords or experiences more commonly found on resumes of a particular group, even if gender isn’t explicitly used as a factor. Therefore, careful attention and rigorous testing are needed to identify and mitigate hidden biases.