From ad optimization tovoice-to-text features, AI is changing the way that people live. It influences sectors as diverse as art, business, e-commerce, energy, finance, healthcare, manufacturing, marketing, media, retail, service and social media. It has become such an integral part of most people’s lives that the average user isn’t always aware when they’re using it.
Unfortunately, conventionalAI – such as optimized ads and smart filters –isn’t designedto understand or explain its reasoning or decisions. Sometimes,companies withhold this information from their users; in other cases, the AI’s neural networks produce algorithms so complex that they’re unintelligible to users andprogrammers alike. As a result, conventional AI oftenarrives at conclusions that make little to no sense to the people they’re supposed to be assisting. This “black box” situation isn’t so bad if the issue is caused by spam filters, but it can be a monumental problem in high-value situations where human health or safety is at risk. This is where AI that can explain every step of its reasoning and decision-making process has become a real game-changer, especiallyin industries such as energy, finance, healthcare and law enforcement.
Amidst this growing demand for explainable AI (XAI), Beyond Limits is working in concert with its newly foundedHealthcare Advisory Board to revolutionize the healthcare industry. The board’s six distinguished members include Dr. Wael Barsoum, President and CEO of Cleveland Clinic Florida; Dr. Douglas Johnston, Program Director for Thoracic Surgery at Cleveland Clinic; Dr. Manish Kohli, Global Board Chair and Fellow of the Healthcare and Information Management Systems Society (HIMSS); Dr. Bala Manian, founder of many successful startups in Silicon Valley and beyond; Dr. Sanjiv Narayan, Professor of Medicine at Stanford University; and Dr. Steven Tucker, founder of Tucker Medical in Singapore. In addition to theirother responsibilities, each board memberwill lend his medical, scientific or technical expertise as Beyond Limits seeks to develop and deploy its cognitive AI within the healthcare industry.
Founded in 2014, Beyond Limits’ latest venture is borne out of its longstanding association with the NASAJet Propulsion Laboratory (JPL), a division of the famed California Institute of Technology (Caltech). Among many other ventures, Beyond Limits has two JPL-licensed programs designed by David Atkinson and/or Mark James. The duo’s Spacecraft Health Inference Engine (SHINE) caught a vital anomaly in the Voyager spacecraft’s telemetry system in 1989, whileHunter – a natural language-understanding system designed by James – can rephrase poorly worded text based on intention as well as grammar. James cofounded Beyond Limits with thecorporation’sCEO, AJ Abdallat, to take these innovative software programs beyond the limits of conventional AI. The company dubbedthe resulting combination of machine learning, deep learning, and symbolic AI“cognitive intelligence.”
Unlike conventional AI, cognitive AI doesn’t just gather, analyze, and categorizeinformation but also uses that information to make and explain its decisions. This makes it ideal for harsh or high-risk environments that require equal measures of sophistication and strength. Within the healthcare industry, Beyond Limits’ advanced AI platform can interpret data – including chart notes, drug interactions, evidence-based clinical guidelines, historical patient data, lab results and real-time sensor monitoring – torecommend personalized treatment options that factor in potential risks and uncertainties. With its sophisticated analyses and evidence-based audit trails, their AI is a perfect example of how technology can be used to assist, rather than replace, the human element.
As cognitive, explainable AI builds trust in its conclusions through its ability to “show its work,” its proven track record will enable humansand machinesto work in greater symbiosis. The goal of Beyond Limits’ Healthcare Advisory Board is to take a giant leap in that direction.
This article does not necessarily reflect the opinions of the editors or management of EconoTimes.


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