Philosophy Dictionary of ArgumentsHome
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| Artificial intelligence: is the ability to recognize artificial systems, patterns and redundancies, to complete incomplete sequences, to re-formulate and solve problems, and to estimate probabilities. This is not an automation of human behavior, since such an automation could be a mechanical imitation. Rather, artificial systems are only used by humans to make decisions, when these systems have already made autonomous decisions._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. | |||
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Alex Pentland on Artificial Intelligence - Dictionary of Arguments
Brockman I 200 Artificial intelligence/Pentland: On the horizon is a vision of how we can make humanity more intelligent by building a human AI. It’s a vision composed of two threads. One is data that we can all trust- data that have been vetted by a broad community, data where the algorithms are known and monitored, much like the census data we all automatically rely on as at least approximately correct. The other is a fair, data-driven assessment of public norms, policy, and government, based on trusted data about current conditions. >Cybernetics/Pentland, >Ecosystems/Pentland, >Decision-making Processes/Pentland, >Data/Pentland. Brockman I 204 One thing people often fail to mention is that all the worries about AI are the same as the worries about today’s government. For most parts of the government - the justice system, etc. - there’s no reliable data about what they’re doing and in what situation. VsArtificial intelligence/Pentland: Current AI is doing descriptive statistics in a way that’s not science and would be almost impossible to make into science. To build robust systems, we need to know the science behind data. Solution/Pentland: The systems I view as next-generation Als result from this science- based approach: If you’re going to create an AI to deal with something physical, then you should build the laws of physics into it as your descriptive functions, in place of those stupid little neurons. >Ecosystem/Pentland. ing algorithms. When you replace the stupid neurons with ones that capture the basics of human behavior, then you can identify trends with very little data, and you can deal with huge levels of noise. The fact that humans have a “commonsense” understanding that they bring to most Brockman I 205 problems suggests what I call the human strategy: Human society is a network just like the neural nets trained for deep learning, but the “neurons” in human society are a lot smarter. Pentland, A. “The Human strategy” in: Brockman, John (ed.) 2019. Twenty-Five Ways of Looking at AI. New York: Penguin Press._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition. |
Pentland, Alex Brockman I John Brockman Possible Minds: Twenty-Five Ways of Looking at AI New York 2019 |
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> Counter arguments against Pentland
> Counter arguments in relation to Artificial Intelligence
Ed. Martin Schulz, access date 2024-04-27