I was intrigued to investigate how AI depicts one of humanity’s most divisive yet pervasive topics: religion. First, I inputted the word “religion” and got the following output:
At first glance, it is quite obvious that the AI’s depiction of the concept of religion is western-centric and rooted in Christian theology, given the prevalence of the Christian symbol of the cross. Similarly, I inputted the word “God” and got the following result, which is arguably also tilted towards Christian interpretations of God, Jesus Christ, and heaven.
Christians are the largest religious group worldwide, but still represent only 25% of the world population. I wonder, how can we make sure that data scientists and ML researchers tweak their algorithms to make sure that highly fragmented data sets (such as, say, the religious distribution of humankind) are equally weighted in AI decision-making instead of over indexing in the largest minority?