What Is Artificial Intelligence (AI)?
This week on Facebook: Last Sunday I posted a video that is linked to the following videos on Artificial Intelligence (AI). I started delving deeper into the nature of AI although in the past I have written a lot about AI, with my 2012 post ‘Is it bird? Is it a plane? No it’s a bid!’ concluding by asking if artificial intelligence (AI) had finally opened Pandora’s Box leaving hope locked inside?
Meanwhile I found myself again using AI by manipulating the processing of information that AI has already made available¹ . Of course the information (or data) can become very large, in fact so large that it becomes classified as big data, humans already struggling to process information are increasingly using computer AI to do so². In finding themselves having to create an AI that is capable of handling this big data, humanity may inadvertently create a cyborg that is superior to itself³.
Perhaps it is always the human creative ability to form images, ideas, and sensations in the mind without any immediate input of the senses, and an innate ability to invent partial or complete personal realms within the mind from sense perceptions of a shared world that has led to our success as a species. Such imaginings are readily recognised in an artistic world, for example; literature, writing, art, poetry, but imagineering is hardly ever given recognition and credit in the technological world. Yet it may well be the artistic world of imagineering that has led to this world of cyborgs. Aasof on Cyborgs
Most of the videos included below are chosen for their ‘nontechnical’ content (or at least for their maximised ‘nontechnical’ explanation of the ‘technical detail’). Next week’s post connecting AI and Frankenstein will (perhaps) cause some thoughts on AI amongst those who are ‘nontechnical’ and having a more artistic bent.
3. CGPGrey (video: 10.9M views)
Referenced Articles Books & Definitions:
- A bold text subscript above and preceding a title below (¹·²·³), link to (usually free) content.
- Links (without superscript) and in italicsreference the intended context of words used.
- Links without superscript and not in italics reference a source.
- A long read url* is followed by a superscript asterisk.
- Brackets containing a number reference a particular included article (1-5).
- Occasionally Open University (OU) free courses are cited.
- JSTOR lets you set up a free account allowing you to have 6 (interchangeable) books stored that you can read online.
¹Everything (technical) you need to know about Artificial Intelligence (url*): Notable dates included AI writing essays that could pass for being written by a human by 2026, truck drivers being made redundant by 2027, AI surpassing human capabilities in retail by 2031, writing a best-seller by 2049, and doing a surgeon’s work by 2053. It is estimated there is a relatively high chance that AI beats humans at all tasks within 45 years and the automation of all human jobs within 120 years.
²DeepMind uses videos to teach itself about the world (url): The latest project out of Google DeepMind is teaching AI to understand what’s happening in the world. To do so, it’s turned to a vast catalogue of video files to help it understand the world it lives in. So far DeepMind’s AI projects have all looked inwards, understanding how AI’s can write, interpret their virtual environments, categorise images or even grasp the difficulties of movement. But this time the DeepMind team have taught an AI to look outwards and understand what’s going on in the real world it’s now a part of.
³Risks from general artificial intelligence without an intelligence explosion: Some believe that if intelligence explosion does not occur, AI progress will occur slowly enough that humans can stay in control. Given that human institutions like academia or governments are fairly slow to respond to change, they may not be able to keep up with an AI that attains human-level or superhuman intelligence over months or even years. Humans are not famous for their ability to solve coordination problems. Even if we retain control over AI’s rate of improvement, it would be easy for bad actors or zealous researchers to let it go too far — as Geoff Hinton recently put it, “The prospect of discovery is too sweet”.
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