Remaining resilient: Our 2023 analytics predictions

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It’s widely understood and agreed upon that AI can be biased. In 2023, the industry will extend our beliefs to accept that biases are in us and around us; they are central to our humanness and influence how we make decisions. Developing AI that predicts and mitigates harmful biases is the first step to securing the necessary trust to move forward without replicating past mistakes.
Examining human biases improves AI bias
"It’s widely understood and agreed upon that AI can be biased. In 2023, the industry will extend our beliefs to accept that biases are in us and around us; they are central to our humanness and influence how we make decisions. Developing AI that predicts and mitigates harmful biases is the first step to securing the necessary trust to move forward without replicating past mistakes." - Reggie Townsend, Director, Data Ethics Practice

Harnessing our superpower: Creating a common vision for AI Learn more about responsible innovation at SAS

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Caslee Sims

I'm Caslee Sims, writer and editor for SAS Blogs. I gravitate toward spaces of creativity, collaboration and community. Whether it be in front of the camera, producing stories, writing them, sharing or retweeting them, I enjoy the art of storytelling. I share interests in sports, tech, music, pop culture among others.

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