It's difficult to measure the real-world impact of AI because 'artificial intelligence' is poorly defined.
Artificial intelligence is today’s most discussed and debated technology, generating widespread adulation and anxiety, and significant government and business interest and investments.
“Flying blind” is a good description, in my opinion, of gathering data about something you don’t define.at Stanford University ,” released in 2016. That study’s first section did ask the question “what is artificial intelligence?” only to provide the traditional circular definition that AI is what makes machines intelligent, and that intelligence is the “quality that enables an entity to function appropriately and with foresight in its environment.
Moving beyond circular definitions, however, the study provides us with a clear and concise description of what prompted the sudden frenzy and fear around a term that wasback in 1955: “Several factors have fueled the AI revolution. Foremost among them is the maturing of machine learning, supported in part by cloud computing resources and wide-spread, web-based data gathering.
One serious problem with that vision was that it predicted the arrival in the not-so-distance future of a machine with human intelligence capabilities , a prediction reiterated periodically by very intelligent humans, from Turing to Minsky to Hawking. This desire to play God, associated with the old-fashioned “AI,” has confounded and confused the discussion of present-day “AI.” This is what happens when you don’t define what you are talking about .
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