14-HumanMachines.ppt
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14-HumanMachines.ppt 14-HumanMachines.ppt Presentation Transcript

  • Department of Computer Science City College of New York Spring 2006 Copyright © 2006 by Abbe Mowshowitz CSc 375 SOCIAL ISSUES IN COMPUTING
  • TOPIC 14. HUMAN MACHINES
    • Intellectual Challenge to Human Identity
    1. “Man is nothing but a meat machine.” - Marvin Minsky
  • HUMAN MACHINES
    • Intellectual Challenge to Human Identity
    • 2. Strong form of Church’s Thesis:
    Any effective procedure can be programmed on a computer. AND Everything humans can do can be expressed as effective procedures.
  • HUMAN MACHINES
    • A. Intellectual Challenge to Human Identity
    • 3. Turing Test (Alan Turing. “Computing machinery and intelligence, 1950.): reformulation of the question “can machines think?”
  • HUMAN MACHINES
    • A.3. Turing Test
    • Based on the “Imitation Game” in which
    • Human interrogator converses by means of a tele-typewriter with two unidentified respondents
    • - one a machine
    • - one a person
    • Object: distinguish between person and machine
  • HUMAN MACHINES
    • A.3. Turing Test
    If in repeated trials with different human subjects, the interrogator cannot distinguish with better than 50% accuracy, the machine is said to simulate human intelligence.
  • Japanese scientists have unveiled a "female" android called Repliee Q1. Source: BBCNews, July 28, 2005 “ Professor Hiroshi Ishiguro of Osaka University says one day robots could fool us into believing they are human .”
  • HUMAN MACHINES
    • A. Intellectual Challenge to Human Identity
    • 4. Information processing model (Simon and Newell, 1964)
    • a. Science of information processing (IP) can be independent of particular IP mechanisms
    • b. Thinking can be explained in IP terms
    • c. IP theories can be formulated in programming languages and simulated on computer
  • HUMAN MACHINES
    • B. Practical Challenge
    • Simon’s continuum of behavior:
    • Capabilities of computer applications have been moving steadily toward the non-programmed end since the 1960s
    PROGRAMMED NON-PROGRAMMED
  • HUMAN MACHINES
    • C. Historical Perspective
      • Earth pushed from center stage by the heliocentric theory of Copernicus
      • Humans linked to apes by Darwin
      • Denied conscious control by Freud
      • Now AI would turn us into machines without free will
  • HUMAN MACHINES
    • D. Challenge Posed by AI
    • 1. Until 1980s AI was an obscure academic discipline
    • 2. Support for research came mostly from government (DoD in the US)
        • Intelligent command and control
        • Guidance for automatic weapons
        • Spying, reconnaissance
  • HUMAN MACHINES
    • D.2. Support
    • spying/reconnaissance calls for:
        • Natural language processing
        • Speech recognition
        • Image processing
      • Examples: unmanned, armored tank; automated co-pilot
  • HUMAN MACHINES
    • D. Challenge Posed by AI
    • 4. AI in the spotlight
        • Japan Fifth Generation Computer Project
          • Announced 1980 by MITI
          • Projected as 10 year $500 m. program
          • Proposed to develop revolutionary computer systems incorporating AI concepts: problem solving functions, intelligent interfaces, inference & knowledge-based functions
  • HUMAN MACHINES
    • D.4. AI in the spotlight
        • U.S. answer to Fifth Generation Project
          • DARPA’s Strategic Computing Program
          • $600 m. funding
          • Envisioned developing AI systems and advanced computer technology
  • HUMAN MACHINES
    • D. Commercial Developments in AI
    • 1. Emergence of start-up firms marketing expert systems with
        • Knowledge base containing rules of thumb
        • Inference engine that makes decisions based on rules in a specialized domain
    • Major challenge: capturing knowledge of human expert and embedding in system (knowledge engineering)
  • HUMAN MACHINES
    • D. Commercial Developments in AI
    • 2. Expert system applications are now widespread (e.g., authorizer’s assistant)
    • 3. Motivation: reduce labor costs, provide consistent performance
  • HUMAN MACHINES
    • D. Differences in Cognitive Capabilities of Humans and Machines?
    • 1. Affirmative answer calls for rejection of Church’s Thesis (e.g., Dreyfus’ argument based on need for a body)
    • 2. What cannot be done today may be realized tomorrow?
  • HUMAN MACHINES
    • E. Ethical Implications of AI
    • 1. Robots and ‘ethical brakes’
    • (e.g., Asimov’s three laws of robotics)
    • 2. Are there areas of application that should be off limits to machines?
        • Judgment in criminal cases?
        • Psychotherapy?
  • HUMAN MACHINES
    • F. Literary Perspectives
    • 1. Background
        • Early Post WW II period
        • Stimulated by the first computers
        • Themes echo those in science fiction and futuristic literature
  • HUMAN MACHINES
    • F.2. Central Figures
        • Robots
          • Capek’s R.U.R. ( Rossum’s Universal Robots ), 1923
          • Czech word “robota” means work
          • Robots limited in action by design
          • Usually obedient servants
  • HUMAN MACHINES
    • F.2. Central Figures
        • Androids (or humanoids): living beings not created by human birth
        • Computers: based loosely on contemporary machines
        • Hybrids (cyborgs): mixed organic and computer components
    • Distinctions hard to maintain in practice.
  • HUMAN MACHINES
    • F.3. Major Themes
        • Dehumanization
          • Over-reliance on machines
          • Disregard of human needs
          • Excessive standardization and inflexibility
        • Identity crisis
          • Superfluity (nothing to do)
          • Myth of regeneration
  • HUMAN MACHINES
    • F.3. Major Themes
        • Persistence of human impulses (especially in negative utopias)
        • Unanticipated consequences (Pandora’s Box)
        • Knowledge and power (cosmic mind, computer as God)
          • Forbidden knowledge and the Word of God
          • Sorcerer’s apprentice, Golem
          • Computers as adjunct to social power
  • HUMAN MACHINES
    • F.3. Major Themes
        • Partnership
          • Human-robot interaction
          • Synthesis of man and machine into higher entity
  • HUMAN MACHINES
    • F. Literary Perspectives
    • 4. Views and attitudes
        • Ambivalence towards technology
        • Machine take-over of human functions
        • Anxiety over role of humans in society
        • Fear of diminished human worth and dignity