4 Ways to Reduce Bias in AI Ever since the advent of the first computer, programmers have known that garbage in equals garbage out. In other words, the quality of what you enter into your machine determines the quality of
Is Lack of Diversity in AI Costing Your Business? One day in 2019, the legal team at Facebook woke up to a lawsuit in their inboxes, filed by the U.S. Department of Housing and Urban Development. The charge? Facebook was
Balancing the Possible: A Q&A with Dan Miller, Pandata Project Manager As a toddler, Dan Miller knew that he absolutely, positively, adamantly wanted to be an astronaut when he grew up. No one was going to change his mind. Except
From Aerospace Manufacturing to Data Science: Bob Wood Shares His Story Two boys grew up in Saudi Arabia. Both boys lived in the same town, both moved to the United States, both attended Case Western University, and both studied engineering.
3 Horrifying Examples of Artificial Intelligence and Machine Learning Gone Wrong When your company deploys AI, things can go wrong. Very, very wrong. How wrong? You could be on the hook for nightmares like: Machines that discriminate against customers or
Meet the Newest Data Scientist at Pandata: Merilys Huhn, JD For as long as she can remember, Merilys Huhn has loved solving problems. She has always been deeply intrigued by how people work and act together—her background in law and
A Marketer’s Journey Through the Land of AI – Entry 4, Bias in AI: A Very Human Issue In the last entry, we covered a few of the unintended consequences of AI, bias being one. For this entry, I’d