How AI Can Influence Diversity and Inclusion (for Better or Worse)

This blog discusses the potential positive and negative effects of AI on diversity and inclusion in the workplace. While AI can improve outcomes, including those related to D&I, it can also cause flaws in recruiting decisions if incorrect data or biases are used. However, diverse teams creating software can prevent groupthink and create unbiased algorithms. Examples of positive AI use cases in the workplace include Uber using an algorithm to cut the gender pay gap and Unilever utilizing automated assessments to increase diversity. Additionally, the core human skills of work, including compassion, collaboration, creativity, critical thinking, and curiosity, will become increasingly important as automation continues to shift jobs into more human components.