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Author: Cal Al-Dhubaib / Originally posted to AI News If you ask ten different data practitioners to define AI, you’ll get ten different answers. In its simplest form, AI is software that recognizes and reacts to complex patterns—but the way
How Do I Monitor for Bias in AI? This post is part of a series that features answers to top AI questions, directly from our data scientists. Other posts in this series include: Data scientists, major organizations, and media outlets
Is AI Really Surveillance? [Insight From Collision Conference] When you hear the word “surveillance” what comes to mind? You might be thinking about hidden cameras, tracking website history, public health monitoring, or a military operation. It’s often construed as invasive
Who Is Responsible for AI’s Mistakes? This post is part of a series that features answers to top AI questions, straight from our data scientists. To receive similar content to your inbox, subscribe to our monthly email digest. Strategizing, designing,
Why Trusted AI Has to Matter in the Healthcare Industry Over the last few years, healthcare providers have increasingly offered telehealth appointments, managed digital transfers of medical records, and encouraged patients to take a more active role in monitoring their
6 Key Players That Should Be Involved in Every AI Decision If you want to develop a Trusted AI solution that solves a business challenge, you need human input. Or, to be more precise, you need human input from a
Pandata’s Proactive Approach to Trusted AI At Pandata, we advocate for Trusted AI that is approachable and ethical. This means acknowledging that sometimes there is no right answer but because we have a duty to safeguard others from unintended consequences,
From Pigeon Navigation to Pandata: A Chat with Hannah Arnson, Director of Data Science When Hannah Arnson was just a little girl, someone gave her the perfect gift. Her Fisher-Price® Micro Explorer Set™ featured a 30-power microscope, a specimen bottle,
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
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
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