artificial intelligence l.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Artificial Intelligence PowerPoint Presentation
Download Presentation
Artificial Intelligence

Loading in 2 Seconds...

play fullscreen
1 / 14

Artificial Intelligence - PowerPoint PPT Presentation


  • 78 Views
  • Uploaded on

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

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Artificial Intelligence' - kerry


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
artificial intelligence

Artificial Intelligence

Do we stand in the way?

Brandon Bushong

April 21, 2006

outline
Outline
  • Goal for A.I.
  • Defining Intelligence
  • The Turing Test
  • Moral Considerations
  • Potential for A.I.
if you re going to dream dream big
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

neuroscience says to keep dreaming
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

defining intelligence
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
the turing test
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

moral considerations
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

the requirements for an autonomous moral agent
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
data vs information
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

processing information
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

why an artificial being cannot pass the turing test
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

why an artificial being cannot pass the turing test12
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

in summary
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

references
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.