Why Artificial Intelligence (AI) Must Be Ethical and Explainable

You can’t turn in any direction without running into a new generative AI-powered product, marketing claim, or fresh example of a company (vendor or buyer) jumping on the bandwagon. Yes, generative AI is powerful technology but it’s not yet fully understood when it comes to use cases and human impact.

Yet generative AI is in its infancy, which means we have barely scratched the surface of critical, related considerations including ethical AI and making AI explainable. This puts a huge responsibility on the shoulders of early software developers and customers who are using the technology. Why? For quite some time, I have advocated putting people first in a “People + Technology” equation, but that requires people to accept responsibility and assert control over their AI technology.

In this first of a two-part analysis, I’m going to do a deep dive to help you understand ethical AI and explainable AI, and why they’re so important. In part two, I’ll delve into why the rapid ascent of generative AI makes it urgent to address ethical AI and explainable AI in the near term.   Read On:

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