Our AI Future: How Technology Convergence Will Shape Our Lives
Michael R. Wood is a Business Process Improvement & IT Strategist Independent Consultant. He is creator of the business process-improvement methodology called HELIX and founder of The Natural Intelligence Group, a strategy, process improvement and technology consulting company. He is also a CPA, has served as an Adjunct Professor in Pepperdine's Management MBA program, an Associate Professor at California Lutheran University, and on the boards of numerous professional organizations. Mr. Wood is a sought after presenter of HELIX workshops and seminars in both the U.S. and Europe.
Are we approaching a convergence of artificial intelligence technologies that allows AI to be self-improving, self-replicating, and more? What would happen if robots could design and build new, more intelligent robots? What are the implications of AI systems that can conceive and create new algorithms, adopt their own definitions of “good” and “bad,” and generate their own linkages and connections with other AI-based entities, devices, and even neuro-linked humans?
In short, what happens when AI-driven robotics, neuro-link technologies, 3D printing, IOT, machine learning, and quantum computing all converge to create a seamless environment? Let’s explore where some of these technologies are headed over the next 15 years, and the implications of those advancements. Then, let’s look at the impact the convergence of these technologies might have on the world.
Artificial Intelligence
AI is predicted to become even more sophisticated, with machine learning algorithms improving efficiency and accuracy in tasks ranging from data analysis to autonomous vehicles—with the ability to learn and adapt faster than ever before. This will lead to breakthroughs in healthcare, finance, transportation and many other sectors.
There are several implications of AI systems being able to change themselves, both positive and negative. The ability of AI…
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