0. goodness criteria = <Humans INSERT MOTIVE HERE>
1. we create dumb AI.
2. we create a bit less dumb AI.
3. for(some years) goto 1.
4. we figure out how to make the bit less dumb AI, create another dumb AI on its own, and assess the goodness of it.
5. run latest generated dumb AI to create a new AI based on goodness of the previous one.
6. if (goodness criteria not met) goto 5.
So the whole process needs "jump-started" kind of like a jet-engine.You end up with an AI system, tuned by another AI, in order to meet human supplied goodness criteria. And in the end, nobody actually understands the fundamentals of why it works. But hey, it does. Kind of. Most if not all I have read regarding these systems, describes the what, not the why.
Not sure what would happen if you use another AI to supply the motives (goodness criteria). I'm sure someone somewhere is trying :)
I think we are currently in 2018 at step 2.5.
If it is a genuine threat then the time to 'worry' is before it eventuates.
Nonetheless, the media likes to generate some hype and fear every now and then, and has done so for decades, usually without even a basic understanding of underlying technology.
[0]: https://en.wikipedia.org/wiki/Artificial_general_intelligenc...
I read a book recently called "Are We Smart Enough to Know How Smart Animals Are?"[1] Very fascinating thought that, in my mind, redefines what I think of as "intelligence". The book Superintelligence[2] gets a little bit into this as well.
Basically, if we define "smarter than humans" as "able to do everything humans do, in the manner humans do them, but faster", then we have no idea what intelligence actually means. AI will be another species (not just a better human) and its intelligence would have to be judged based on its own merits.
Perfectly modeling the human brain in computer form is one avenue that computer science is working on. Artificial intelligence is a completely different path, and does not have to model human intelligence in any way.
[1] https://smile.amazon.com/Are-Smart-Enough-Know-Animals/dp/03...
[2] https://smile.amazon.com/Superintelligence-Dangers-Strategie...
While this particular essay starts off with the AGI premise, this could easily be reworked to assume a relatively "dumb" by highly connected AI. For example, one that is able to buy/sell stocks, place orders from suppliers, sell product and adjust prices, and rebalance workforce and automation lines could still cause some major damage before anyone would notice.
There's also a pretty fun clicker game based on the essay: http://www.decisionproblem.com/paperclips/
AI has been realized. We have tons of AI in every facet of industry from the car to the food to gaming industry. AI is everywhere.
> Real AI will allow machines to spawn original decisions to solve new problems spontaneously.
AI already does it to some degree. Deepmind's AI has made original decisions and solved new problems in chess and go. Deepmind's AI isn't domain specific.
What you are talking about is generalized "conscious" AI. That is like fusion energy. A truly revolutionary step that we don't know if we'll ever achieve.
The current dangers of AI isn't the generalized AI since generalized AI would ostensibly be "godlike" to us. What is worrisome is the pace of advancement of regular "non-conscious" AI.
Funny you say that... I have asked the same question regarding why some people are obsessed with pushing for technological singularity and AI that can replace human decision making.
That sort of creative thinking is stressful because it is often an exercise in planning or problem solving that deals with the relationships of many moving pieces simultaneously and results in qualifying or validating activities that demand large amounts of time or resources. I often wish I were better at writing software so that I could write automation routines to more quickly validate my decision making, and so I typically end up writing validation routines instead of solving for the core problem. It would be nice if there were an AI available that help limit that distraction.
But some of the AI fanboys go beyond that, wishing for an AI that can make these decisions for us.
Edited for clarification. Not conscious in any way that would rival "real AI" (as per the parents point) or human consciousness.
AI will get increasing access to more and more crucial parts of society and thus become more and more dangerous. It doesn't need to "real AI" for that.
> An earthquake is dangerous even though it's not conscious.
Of course a lion is conscious but it's not conscious at a level that the parent means (real ai).
Of course, because it can wake up, right? Or are you trying to say Lions are not intelligent? If the latter I think you are wrong. I am fairly certain lions can acquire new skills and apply that knowledge in many ways. Like knowing that whoever put them down is a threat and they should probably attack them when they wake up.
No lions most certainly can't acquire new skills in any meaningful way besides trough evolution.
C. Elegans can learn new behaviors. I'm inclined to think that animals with 0 capacity for learning don't exist.
What many developers call AI, or more precisely machine learning (ML), are a collection of algorithms for making more intelligent decisions in context to the data at hand. That is simply smarter programming, but it isn't intelligence. The machine is still limited to the static instructions available.
Real AI will allow machines to spawn original decisions to solve new problems spontaneously. We aren't there yet. The ethical implications will likely not be any different than those confronted by people. It generally boils down to just because you can do something doesn't mean you should.