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Artificial Intelligence

Artificial Intelligence. Do we stand in the way? Brandon Bushong April 21, 2006. Outline. Goal for A.I. Defining Intelligence The Turing Test Moral Considerations Potential for A.I. If you’re going to dream, dream big. Goal of A.I. Basic, yet optimistic criteria for an android

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Artificial Intelligence

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  1. Artificial Intelligence Do we stand in the way? Brandon Bushong April 21, 2006

  2. Outline • Goal for A.I. • Defining Intelligence • The Turing Test • Moral Considerations • Potential for A.I.

  3. If you’re going to dream, dream big • Goal of A.I. • Basic, yet optimistic criteria for an android • Union of linguistics and everyday knowledge • Ability to interpret demeanor and speech • Nonverbal communication http://colegroup.com/images/0407-Android.jpg

  4. Neuroscience Says to Keep Dreaming • Complexity of the brain • Neural networks • 100 billion neurons vs. 30 neurons • ? vs. 30+ years and 15 research teams http://www.alanturing.net/turing_archive/graphics/realneurons.gif

  5. Defining Intelligence • Requirements for thinking • A human body? • What is the unquestionable definition of intelligence? • Objections (Psychological & Philosophical)? • Operational definition • The Turing test—an imitation game

  6. The Turing Test • Test fundamentals • Three participants • Segregation • Foundation for artificial sentience • Key assumption • Humans think http://www.alanturing.net/turing_archive/pages/Reference%20Articles/TheTuringTest.html

  7. Moral Considerations • Autonomy requires ethical and moral action • Due to interaction with humans • What is an unyielding definition of morality? • Objections (Psychological & Philosophical)? • Operational definition • The Moral Turing test • Restricts conversation to morality http://www.marxists.org/reference/archive/hegel/triads/morality.htm

  8. The Requirements for an Autonomous Moral Agent • Conversing is not enough • Understanding circumstances is essential • Knowledge of the inner status of ethical beings, communal procedure of creating accountability attributions, and customary morality • Distinguishing between data and information

  9. Data vs. Information http://www.thefeltsource.com/My-First-Numbers-Large.jpg • Computers process data • Surface-level form of information • Understanding a situation • Requires information processing • Relating to the data being processed • Example: Impending implosion of the Earth • How do you know 1 + 1 = 2? • How do you know when you are in love? http://www.restposten.de/fotos/1136289355AUT44.jpg

  10. Processing Information • To be able to process information, a computer would need to understand the information’s context • Context affects interpretation • Farmer vs. Sandcastle builder • Computers are at a disadvantage • Finite amount of storage • Necessitates more than a pre-set procedure • Agree or disagree? • Requires adaptation • Developed by a physical presence in the world • Artificial beings are incapable of passing the Moral Turing test http://facweb.cs.depaul.edu/yele/Course/IS421/S4/open%20road%20context%20solution.gif

  11. Why an Artificial Being Cannot Pass the Turing Test • The test does not actually measure intelligence • Examines human intelligence, as shaped by the environment • The use of subcognitive questions • Probes a machine for the accumulation of human experiences • Use of the senses and processing the data obtained with one’s senses • Ex: Smells, tastes, etc. • Ability to explain a decision based on the use of the senses http://www.supereggplant.com/archives/sugar%20cookies.JPG http://www.corbinstreehouse.com/blog/wp-content/uploads/dadsyard_flowers_DSCF0027.JPG

  12. Why an Artificial Being Cannot Pass the Turing Test • To pass the Turing test, an artificial being must live as a human • To be intelligent, according to the Turing test, a machine must be human http://www.xensory.com/blogs/robotsnext/repliee.jpg

  13. In Summary • When humans act as the definition of intelligence, there is no room for other sentient beings. http://www.wbru.com/albums/warpedtour/crowd.sized.jpg

  14. References • Bernstein, J. (2001). A.I. The New Yorker, 295-300. • Brackenbury, I, & Ravin, Y. (2002). Machine intelligence and the Turing test. IBM Systems Journal, 41, 524-529. • French, R. M. (2000). Peeking behind the screen: The unsuspected power of the standard Turing test. Journal of Experimental & Theoretical Artificial Intelligence, 12, 331-340. • Jin, Z., & Bell, D. A. (2003). An experiment for showing some kind of artificial understanding. Expert Systems, 20, 100-107. • Proudfoot, D. (2004). The implications of an externalist theory of rule- following behavior for robot cognition. Minds and Machines, 14, 283- 308. • Stahl, B. C. (2004). Information, ethics, and computers: The problem of autonomous moral agents. Minds and Machines, 14, 67-83. • Zimmer, C. (2001). Alternative life styles. Natural History, 110, 42-45.

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