To reply anyways to contribute to the discussion, there is a lot of fear mongering about cognizant AI from people who don't create these systems themselves.
With all of the marketing around things like big data, deep learning and other topics, it makes it seem like we're closer to cognizant AI than we really are.
At the heart of all this is still statistics and machine learning which in and of itself is just statistics with a lot more data used to achieve a set of tasks such as predicting a future value or labeling some thing (such as a fraudulent event)
Edit:
I'd love to see some discussion on what people think we are close to.
We have to ask ourselves, what is AI and what is considered intelligent? Is it mimicking the human brain as closely as possible (with all the flaws that come to mind such as bias) or is it making the heuristically best decision given a set of circumstances (game playing AI, maximum likelihood learning).
Both of these mindsets can be beneficial. Let's just make sure we treat it for what it is: math and binary information.
A non cognizent AI that is capable of generating an similar AI better at generating AIs than itself is would run into the issue, regardless of whether it is cognizant.
With all of the marketing around things like big data, deep learning and other topics, it makes it seem like we're closer to cognizant AI than we really are.
At the heart of all this is still statistics and machine learning which in and of itself is just statistics with a lot more data used to achieve a set of tasks such as predicting a future value or labeling some thing (such as a fraudulent event)
Edit: I'd love to see some discussion on what people think we are close to.
We have to ask ourselves, what is AI and what is considered intelligent? Is it mimicking the human brain as closely as possible (with all the flaws that come to mind such as bias) or is it making the heuristically best decision given a set of circumstances (game playing AI, maximum likelihood learning).
Both of these mindsets can be beneficial. Let's just make sure we treat it for what it is: math and binary information.