Machine Learning Bias – An Existential Risk

Lars Wood, CEO of QAI Swarm and Head of LARSX RESEARCH, a company based in the United States deploying patent-pending Quantum Artificial Intelligence (QAI) cognitive reactor collective intelligence for crypto-currency blockchain solo and pool mining, participates in Risk Roundup to discuss -Machine Learning Bias – An Existential Risk. Machine Learning Bias – An Existential Risk The birth of the world wide web and the invention of the internet was only a few decades ago. The magnitude of that invention and the advancements that have since occurred in computing and communications are not only connecting humans across nations but fundamentally changing their lives as we speak. Since each new idea, innovation and technology bring us transformative potential, there is a growing belief that the ongoing technology transformation in cyberspace would play a central role in increasing equality and fairness and bring us the power to transform the world in not only cyberspace but also geospace and space (CGS). While cyberspace can bring us a force for equality, the dawn of artificial intelligence (AI) is also giving us a promise of a leveled playing field across CGS, where everyone, irrespective of race, religion, class, or connections would have an equal opportunity in not only education; but employment, entrepreneurship, survival, success, satisfaction and a shot at prosperity. However, as machine intelligence is becoming more ubiquitous, and systems are being controlled in not only cyberspace but also geospace and space; the emergence of evidence and data of biased algorithms is leading to growing concerns of algorithms making judgment calls. So, how are machine learning algorithms becoming biased? Conclusion – Machine Learning Bias – An Existential Risk Identifying, isolating, and eliminating the biases that cause Artificial Intelligence to make decisions that either endanger human life or discriminate, is one of the biggest challenges facing machine-learning developers today. We at Risk Group call attention to risks impacting humanity at all levels—biases that bring inequality, emphasize them, raising awareness of their existence, educating individuals and entities across NGIOA, and making every effort to correct them as best as we can. By identifying the problem and raising awareness for it, we take the first step in beginning to address it. Now is the time to talk about the risks of Biased Algorithms! For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast About the Guest Lars Wood is the CEO of QAI Swarm and heads LARSX RESEARCH, a United States company deploying patent-pending Quantum Artificial Intelligence (QAI) cognitive reactor collective intelligence for cryptocurrency blockchain solo and pool mining. His innovative career spans patented ANN algorithms, advanced microelectronics, thermonuclear and quantum physics, supercomputing machines, condensed matter physics, superconducting electronics, subatomic matter visualizations, “Smart Molecule” drug discovery where molecules use supramolecular forces to make decisions about their biological activity. His patented ANN science was the first to solve a non-DARPA large-scale DoD military challenge thought to be impossible generating hundreds of millions of dollars for GTE (GD/Verizon). CIA GoTo for unyielding agency technical challenges. He is also the Founder and director of the GTE-GS award-winning Advanced Machine Intelligence Laboratory. Granted 8 ANN foundational patents, received the highest research award in competition with the founders of ML and AI. He is also a Visiting Scientist at MIT, JPL, CIA, SCF, XILINX, SFI, DOS, FBI, LANL, NSA, NRO, DISA, DIA, Whitehouse. About Risk Group Risk Group is a leading strategic security risk research and reporting organization. Copyright Risk Group LLC. 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