Philosophy Dictionary of ArgumentsHome | |||
| |||
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. | |||
Author | Concept | Summary/Quotes | Sources |
---|---|---|---|
Anca Dragan on Artificial Intelligence - Dictionary of Arguments
Brockman I 139 Artificial intelligence/Dragan: [The] need to understand human actions and decisions applies to physical and nonphysical robots alike. For an AI with, say, a financial or economic role, the mismatch between what it expects us to do and what we actually do could have even worse consequences. One alternative is for the robot not to predict human actions but instead just protect against the worst-case human action. Often when robots do that, though, they stop being all that useful. With cars, this results in being stuck, because it makes every move too risky. (…) robots will need accurate (or at least reasonable) predictive models of whatever people might decide to do. Our state definition can’t just include the physical position of humans in the world. Instead, we’ll also need to estimate something internal to people. What makes the problem more complicated is the fact that people don’t make decisions in isolation. Much like the robot treating human actions as clues to human internal states, people will change their beliefs about the robot as they observe its actions. Unfortunately, the giving of clues Brockman I 140 doesn’t come as naturally to robots as it does to humans; we’ve had a lot of practice communicating implicitly with people. >Value alignment problem/Dragan. >Artificial Intelligence >Artificial consciousness >Artificial General Intelligence >Strong Artificial Intelligence >Machine Learning >Neural Networks >Superintelligence. Dragan, Anca, “Putting the Human into the AI Equation” 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. |
Dragan, Anca Brockman I John Brockman Possible Minds: Twenty-Five Ways of Looking at AI New York 2019 |