Six Techniques for Integrity, Diversity, & Ethics in AI Development

In a special guest feature, Vatsal Ghiya, CEO and co-founder of the Shaip shared some keynotes on how to build AI that includes Integrity, Diversity, and Ethics. He also shed light on 6 crucial steps to make sure your AI initiative meets ethical AI standards.

Here are the key takeaways from the article:

  • AI deployment can go awry if companies and enterprises are not keeping biases and discrimination based on gender, religion, and beliefs not in check. Consider the example of Amazon, the giant enterprise which attempts to create an AI system to scan resumes and identify the most qualified candidates and provided the most qualified candidates are males.
  • In a similar case- Facebook also used AI to enable advertisers for targeting audiences based on gender, race, and religion, As a result, algorithms showed nursing jobs primarily to women, ads for a janitorial position for males, and limited real estate ads to an audience of white individuals.
  • If AI deployment doesn’t incorporate integrity, diversity, and ethics more of these cases will make a headline and propagate biases and discrimination. To ensure all the standards are in check, it’s vital for enterprises to focus on these crucial steps.

Read the full article here:

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