I am standing in the dark, looking at the shadows on the walls of this ancient cave when my pocket buzzes — Facebook wants to notify me that I’ve been invited to a play tonight. Who am I? You might say I am Plato, except, like, I also have a smartphone. Editor Stacy Hale had a great conversation with Bryan A. Knowles about AI and giving meaning to language.
Greek philosophy, among some silly things, asks the real questions, like: “What is the true nature of the universe?” This question might seem impossible to answer simply because it is impossibly vague, but in Plato’s famous Allegory of the Cave
, it is explained that we can never even look upon the face of Truth — our ability to know anything is intrinsically limited by our imprecise senses, psychological processes, and non-universal language.
BK: Keep in mind that this train of thought is carried on the assumption that one true Truth exists, something that Relativity and the Uncertainty Principle and the Uniqueness Problem all contradict. Regardless, Plato’s Cave remarkably sums up much of modern scientific skepticism: There are things we can never know, such as whether any given computer code will halt when executed; there are things we can never approximate, since all it takes is a single electron counted wrong and our weather predictions will quickly be way off; and, there are things we can never expect, such as ... Read more
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Tags: AI, artificial intelligence, criticality, future, network
The term ‘resilience’ is thrown around quite a lot lately. Whether it be in our personal or professional lives, we all know that being resilient is crucial to both survival and success. But what does resilience really mean? In network science, resilience is the ability of a system to withstand perturbations from its environment. In plain English, that basically means to roll with the punches. What does that look like at the firm level — for strategists, teams, and organizational leaders? What knowledge can we apply from network behaviors toward building more resilient, sustainable communities?
"In nature, the systems most likely to survive are the ones that can adapt to diverse environmental circumstances. Often that means being able to change as demands from the environment become ever more complex."
Dr. John Izzo
is an employee engagement expert, the author of six books including Stepping Up
, and a network science enthusiast who applies his knowledge of complex systems to helping organizations such as NASA, IBM, and Microsoft navigate complex challenges and transitions. According to Dr. Izzo, one of the best ways to understand resilience on an individual and community level is to look closely at nature. In nature, the systems most likely to survive are ... Read more
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Tags: biology, creativity, culture, diversity, future, innovation, leadership, network, strategy