Many people are predicting doom because of artificial intelligence (AI). My message is simple: we must not fear AI, even as we insist on its responsible development, deployment and use. AI holds extraordinary promise, including possibilities we cannot yet imagine or conceptualize.
Over a sufficiently long but finite period, humanity may even approach forms of physical longevity that appear impossible today. Many limitations in medicine arise from our incomplete understanding of the human body. If AI helps us understand human anatomy, physiology, genetics and disease at far greater levels of precision, breakthroughs will follow, and healthcare will advance in ways previously considered unattainable.
As AI becomes more capable, it will open new vistas for humanity across virtually every dimension of life. Pythagoras proposed that the universe is fundamentally expressed through numbers. AI may help humanity realize that profound insight by enabling us to understand ourselves and our universe at their most fundamental atomic, mathematical and informational levels.
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The promise of AI is not that machines will diminish humanity. It is that they can expand the boundaries of what humanity can understand, create and achieve. Our responsibility is to govern this technology wisely, not to retreat from its possibilities in fear.
I wrote this for IEEE Institute of Electrical Electronics Engineers USA in 2008: “Imagine a world where those with ear problems could buy electronic cochleas and those with eye problems, electronic retinas on Amazon and eBay. Imagine a world where all problematic human organs can be electronically replaceable to push humans toward the grail of immortality. All this might not be just imagination years from now if neuromorphic circuits continue to advance. Neuromorphs, or artificial neural microcircuits, capture the biological neural computational properties into mixed-signal VLSI (very large scale integration). These circuits are inspired by the function, structure, and plasticity of biological nervous systems by emulating their efficient inherent computational capabilities. They mimic the algorithmic behavior of the biological systems utilizing similar organizing principles through efficient adaptive and intelligent control processes in parallel. Adaptation, learning, and memory are implemented locally within each processing stage of these systems.”
Yes, do not fear AI!
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