Science, Technology & the Future
Title: Strong AI: Why we should be concerned about something nobody knows how to build
Synopsis: At the moment, nobody fully knows how to create an intelligent system that rivals or exceed human capabilities (Strong AI). The impact and possible dangers of Strong AI appear to concern mostly those futurists that are not working in day-to-day AI research. This in turn gives rise to the idea that Strong AI is merely a myth, a sci fi trope and nothing that is ever going to be implemented. The current state of the art in AI is already sufficient to lead to irrevocable changes in labor markets, economy, warfare and governance. The need to deal with these near term changes does not absolve us from considering the implications of being no longer the most intelligent beings on this planet.
Despite the difficulties of developing Strong AI, there is no obvious reason why the principles embedded in biological brains should be outside of the range of what our engineering can achieve in the near future. While it is unlikely that current narrow AI systems will neatly scale towards general modeling and problem solving, many of the significant open questions in developing Strong AI appear to be known and solvable.
Talk held at ‘Artificial Intelligence / Human Possibilities’ event as adjunct to the AGI17 conference in Melbourne 2017.
Assessing emerging risks and opportunities in machine cognition
With AI Experts Ben Goertzel, Marcus Hutter, Peter Cheeseman and Joscha Bach.
Event Focus:
Given significant developments in Artificial Intelligence, it’s worth asking: What aspects of ideal AI have not been achieved yet?
There is good reason for the growing media storm around AI – many experts agree on the big picture that with the development of Superintelligent AI (including Artificial General Intelligence) humanity will face great challenges (some polls suggest that AGI is not far). Though in order to best manage both the opportunities and risks we need to achieve a clearer picture – this requires sensitivity to ambiguity, precision of expression and attention to theoretical detail in understanding the implications of AI, communicating/discussing AI, and ultimately engineering beneficial AI.
Meetup details: https://www.meetup.com/Science-Technology-and-the-Future/events/242163071/
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Kind regards,
Adam Ford
– Science, Technology & the Future
Source
53:53 "Bonus track": speakers discussing audience questions, starting with Ben Goertzel 🙂
Heinz von Förster!
Joscha Bach: you are a lier saying "nobody knows…"
There is no problem understanding how human brain works and there is no problem simulating brain inside computer. World's first brain simulation is waiting here: http://www.moravcik.info
Joscha Bach and Elon Musk are conspirators keeping the humanity from better future!
HA HA HA!!!! Y2k why we should be concerned. Hahahaha!!!
Don't be so hysterical Joscha Bach, it is impossible for cybernetics to ever surpass human intelligence. Show me another biological species that can equate to the intelligence of humans and then possibly worry about cybernetic intelligence ruling over us.
Supplementary material for this talk is this interview with Joscha Bach on Philosophy of Artificial Intelligence : https://www.youtube.com/watch?v=PyKzO0MF1zI
If you think the term AI that people have been carelessly throwing around lately has even a slight resemblance to what most people think of when they hear that term, then you've fallen to the marketing hype. A computer program than can make a decision based on values (standard if/else) isn't intelligence. Intelligence insinuates sentience and what people are calling AI isn't sentience and is at least a couple of decades away from getting anywhere near that.
We’re all going to end up in a super position anyway. 🙂 Good talk. Thanks for sharing.