Diveplane

diveplane.com

Humanity is making critical decisions with technology prone to hallucinations, bias, and opacity, believing that’s the necessary price to pay for powerful AI. That’s unacceptable. We’re doing something about it. From Alexa to Chat-GPT, we’ve seen explosive growth of AI applications in everyday life. Unfortunately, that explosion has been built upon “black box” neural networks, which can go wrong in surprising ways and can’t be debugged. Howso co-founder Dr. Chris Hazard spent decades focused on understanding deeply complex, interactive computing systems. His research lies at the intersection of trust and AI. Recognizing the inherent dangers in deep neural nets and black box AI, Chris set out to build AI that’s as powerful as it is understandable. His first systems were built in the defense sector, where the “why” is just as critical as the “how.” Chris, his longtime collaborator Michael Resnick, and advisor Dr. Michael Capps founded Howso (formerly Diveplane) in 2017. Capps had retired after a decade as President of Epic Games (Fortnite, Unreal Engine) and shared Hazard’s concerns about the direction of AI development. The vision was simple: they would work towards positive social impact first, profits second. A group of like-minded angel investors and philanthropists came together for the seed round, and the company began its mission to bring Chris’ maturing research to the world. More than sixty patent assets later, we’ve deployed our ever-evolving technology in academic institutions, non-profits, global financial enterprises, healthcare organizations, and government agencies. Our users are empowered to make decisions directly from data, rather than relying on abstract black box models. They can interrogate outcomes, correct mistakes and bias, and make critical decisions responsibly.