Modern battleground for the soul: Mark Ridgeway on ai
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The document discusses the history and development of artificial intelligence from its origins in the 1950s to current applications. It covers important early pioneers like Alan Turing and Frank Rosenblatt who developed concepts still used today. The document then outlines major periods in AI development including the Cold War era, a focus on business applications in the 1980s-1990s, increased capabilities in the 2000s, and AI entering the mainstream in 2011. It poses the question of whether we should fear further advances in artificial intelligence.
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Modern battleground for the soul: Mark Ridgeway on ai
- 2. Alan Turing
- 4. Frank Rosenblatt, Inventor of the Perceptron
- 7. Dave: Open the pod bay doors, HAL. HAL: I'm sorry, Dave. I'm afraid I can't do that. Dave: What's the problem? HAL: I think you know what the problem is just as well as I do. Dave: What are you talking about, HAL? HAL: This mission is too important for me to allow you to jeopardize it.
- 9. AI 1955 – 1974 The Cold War and Scientists
- 10. AI - 1980 – 1990 The Business years
- 11. AI 1995 – 2010 The Power years
- 12. AI 2011 In the Mainstream
- 13. Conclusion – Part 1
- 18. Should we fear AI?
- 19. A stick, a stone The end of the road The rest of a stump A lonesome road A sliver of glass A life, the sun A knife, a death The end of the run And the riverbank talks Of the waters of March It's the end of all strain It's the joy in your heart https://www.youtube.com/watch?v=6MNknFy2gdQ
Editor's Notes
- Let’s round up our view of computer and AI history. We have made enormous progress with the digital algorithmic computer but it has now matured and doesn’t appear to be going anywhere from here. We have lots of questions that we want answered which current computers will not be able to answer. AI has had a very chequered history. In its first 30 years it promised much and delivered little. And paid the penalty – money was withdrawn. Yet more recently it has surprised us by actually creating useful things, with the promise of more to come. This is both exhilarating as well as frightening. There are two approaches appearing. First is what is called Strong AI. It is heavily reductionistic. That is, intelligence is simply the operation of principles which are founded on more basic principles and so on all the way down. We can decompose a human being and discover the principles that make them work, then replicate. Second is Weak AI. It is dominated by people who want to solve human questions. Their solutions replicate intelligence in one way or another but it is mimicking something that is known but not really understood. AI is here to stay. Our focus will be on Strong AI. This image is beautiful. From the 1927 movie Metropolis (Fritz Lang). It will continue to stretch our understanding of problems and how we analyse them, how we discover information and how we physically perform them. There are dangers. Unemployment being most notable. But that is something that can be managed rather than avoiding progress. But the ongoing pursuit of understanding and replicating humanity is still at the starting blocks. Not much progress at all, despite lots of predictions and noise. This is given the title Strong AI. But replicating a human being, well that requires us to answer a number of questions about what intelligence is and what being a human being is. This is the subject of our second half.