Diversity vs Artificial Intelligence — a conflict by definition?
It may not be a common topic to mix diversity and artificial intelligence, however, I have been thinking about it lately. I am a big fan of diversity & Inclusion, as well as a professional in Artificial intelligence. It is not uncommon that I discuss both in my daily work with the goal to promote both,
I have been looking into diversity lately and how diversity can benefit businesses. There are many benefits and reasons to create diverse environments, such as increasing the diversity of thoughts, taking advantage of the minority segments. Diversity management is the practice to execute actions to improve diversity and inclusion in a workplace to provide equal opportunities for everyone, regardless of their diversity demographics or social graphics types including races, age, culture, gender, sex orientations.
At the same time, AI (artificial intelligence) advocates the use of advanced data and deep learning skills to find the competitive advantage to act on. For example, if we know that certain types of customers are more likely to buy a certain product if certain conditions are met. As a business, you would definitely take that as a piece of knowledge and apply it to increase the revenue, would you?
A conflict between AI and Diversity
Now here is a situation. What if, your data and data science model tells you this:
we have learnt from a model for the city of ABC, the closing rate of product #1245 will increase by 35% if a white male sales representative makes the first face to face contact with a new customer.
Just as simple as that, what should the company do? Please response below!
This post is syndicated content from https://minddata.org/diversity-vs-ai-Brian-Ka-Chan-AI
