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Artificial intelligence – the Tool to Promote Diversity and Inclusion

Diversity and inclusion (D&I) increasingly are becoming a focus area for businesses. And it is not just because it is the right thing to do, but it also makes excellent business sense. According to McKinsey, the top quarter of companies on the diversity list were 33 percent more likely to be among the most profitable in their industries. Also, in the world of startups, diverse founding teams earn 30 percent higher returns for their investors. 

Why is D&I important? 

This is because it is an essential part of creating a best-in-class work environment and workforce. Talent management professionals recognize that a diverse and inclusive workforce is able to bring about new ways of thinking and more innovation, by combining different mindsets and backgrounds. 

What are the gains from D&I? 

Here is what an organization stands to gain with strong D&I efforts: 

  • Unique cognitive attributes from diverse people fostering creativity, innovation, and problem-solving
  • Better access to the required skill sets
  • Minimal compliance requirements
  • Improved reputation for the organization
  • Better experiences for customers

 

When organizations step up their efforts in these areas, their ability to innovate rises by 83 percent, their customer responsiveness by 31 percent, and the effectiveness of their team collaboration by 42 percent, as per research by Deloitte. Companies that rank at the top of racial diversity scales earn 15 times the revenue of those at the bottom, according to the American Sociological Association. Inclusive cultures bring thrice as good performance, six times as much innovation, and eight times as much likelihood of achieving a better outcome for the business. And for 64 percent of candidates, their decision to take on a job offer was significantly determined by diversity. 

How important is the D&I issue? 

For talent management systems, the most important issue these days is making the workplace more diverse and inclusive. This requires a focus on evaluating candidates as per their capabilities and putting any sort of bias out of the picture. Toward this end, artificial intelligence (AI) and machine learning (ML) are extremely useful tools that can be employed for identifying, recruiting, and hiring candidates solely based on how capable they are, and staying clear of all bias triggers. 

What gets in the way of better D&I? 

Talent management professionals find a diverse and inclusive workplace easier to talk about than to actually create. Bias is the biggest issue, exerting its effect on every stage of finding the right candidate. From talent attraction and hiring to career development and performance appraisal and many other stages, bias is always a factor. It can be seen in a desire to work only with those from a similar background, or to hire people with only one profile. 

How does bias affect D&I? 

Conscious and unconscious biases – also known as explicit and implicit stereotyping – negatively affect daily work life and formal employment decision-making. The following are examples of bias: 

  • Masculine words in job advertisements for male-dominated fields, reducing their appeal to women
  • Racist tones to selection or negative considerations for specially-abled candidates who are as productive as anyone else
  • Lower promotion chances for women
  • Poorer performance ratings for older workers and women
  • Better compensation and settled job prospects for physically attractive candidates compared to those who are less attractive
  • Microaggressions – verbal or non-verbal insults or slights

Why are traditional systems proving ineffective? 

Traditional talent management systems place HR at the center of the workflow, not the candidate, and they rely on manual, siloed processes. Applicant tracking systems (ATSs) look less at candidate capabilities than at keywords in their profiles. Such systems, unfortunately, scale with the same biases and a reason for a success rate in hiring as low as 30 percent. 

How can AI help to improve matters? 

AI could be a great contributor to improving D&I efforts in hiring by companies around the world. This is how: 

  • Better job postings: Eliminating gendered language that otherwise discourages some applicants
  • Finding diverse candidates faster: Identifying candidates with the most potential for the job at hand, irrespective of age, ethnicity, or other factors; also giving attention to often underrepresented groups
  • More fair pay packages: More precise calculation of salary payouts after analyzing and parsing market data to prevent undue pay disparities
  • Improved interview panels: Eliminating bias and boosting inclusiveness of the interview process, and attracting diverse candidates
  • Minimized bias across the talent lifecycle: Detecting discrimination at every stage and addressing it accordingly

 

Is there anything to be concerned about?

 

For all its promise, AI in HR could increase or perpetuate bias in hiring and talent development, according to 23 percent of HR professionals responding to an IBM survey. This comes from the underlying data being collected by possibly biased humans, and the system perpetuating the same faults. Continuous testing and adjustment are the way ahead.

 

What are the most critical actions to take?

 

For talent management professionals looking to boost D&I efforts, it is important to create systems leveraging the right expertise. Standardized competency models and job descriptions can eliminate personal subjectivity. Of course, the data fed in must be high-quality and bias-free.

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Tags: (DI), Diversity, Inclusion, and, dsc_ai, dsc_tagged, management, professionals, systems, talent

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