Artificial Intelligence or Artificial Narrowness ?
Artificial Intelligence (AI) is “intelligence” that is not the result of human cogitation.
I followed the question on Quora What is the difference between artificial intelligence and human intelligence? and here are some answers from clever contributors
Lets assume an author who is adapting complex ideas for public consumption must be a.) capable of understanding the ideas thoroughly in their original form; and b.) familiar with the limits of understanding of the general public and the way these materials must be presented to them.
We do not make money as a business organization by cutting customer service jobs and replacing people with bots. We make money through people
One can not have ultimately a company made out of token activated bots.
I followed the question on Quora What is the difference between artificial intelligence and human intelligence? and here are some answers from clever contributors
"Artificial means man-made. The only way we can be considered artificially intelligent is if we considered biological reproduction resulting in intelligent humans as a man-made process."
"We know that we are not artificial intelligence because we know that we are not artificial."
"In my opinion it is misleading to talk about "artificial intelligence". The alternative term, "machine intelligence", is far better."Machine Learning (ML) is the subset of the Artificial Intelligence (AI) focused on algorithmic approaches, while traditional methods mostly use a parametric approach. Yet ML and AI are used almost interchangeably
Happiness
Artificial intelligence usefulness is not apparent to every oneLets assume an author who is adapting complex ideas for public consumption must be a.) capable of understanding the ideas thoroughly in their original form; and b.) familiar with the limits of understanding of the general public and the way these materials must be presented to them.
We do not make money as a business organization by cutting customer service jobs and replacing people with bots. We make money through people
Machine learning is here to give the management a view of profits, along side the human assets sentiments who are the true generators of wealth in well managed companies.
- Bots are useful,
- ML is great but
- Happy employees enable happy customers.
- “No business has ever failed with happy customers”, said Warren Buffett, May 2016.
One can not have ultimately a company made out of token activated bots.
Imaginative uses of ML
The article why Good Companies Go Bad from Harvard Business Review 1999, describes the term Active Inertia. This is an organization’s tendency to follow established patterns of behavior—even in response to dramatic environmental shifts. Many large companies fall victims. Machine Learning may have access to documents where it can extract proof of the Active Inertia. Than the management makes changes and see if the symptoms of Active Inertia are less than before.
The happiness literature has identified one of the most deeply satisfying human psychological states to be one called “flow.” It occurs when you are so immersed in an activity that you lose track of the passage of time. Can we identify roughly what is the the percentage of total employees who experienced it?
Finally, we want in our country to give people the ability to work productively in steady jobs, without the stressful fear of being riffed. Most humans are not entrepreneurs and are risk averse.
Look at Intel, Cisco, and the like laying off people in massive numbers. They could have had avoided it is they have had identified the Active Inertia in their companies and the lack of flow in their employees.
Look at Intel, Cisco, and the like laying off people in massive numbers. They could have had avoided it is they have had identified the Active Inertia in their companies and the lack of flow in their employees.
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