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Weak AI: Can Machines Act Intelligently?. Some things they can do: Computer vision: face recognition from a large set Robotics: autonomous (mostly) car Natural language processing: simple machine translation Spoken language systems: ~1000 word continuous speech

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weak ai can machines act intelligently
Weak AI: Can Machines Act Intelligently?
  • Some things they can do:
    • Computer vision: face recognition from a large set
    • Robotics: autonomous (mostly) car
    • Natural language processing: simple machine translation
    • Spoken language systems: ~1000 word continuous speech
    • Learning: text categorization into ~1000 topics
    • Games: Grand Master level in chess (world champion), etc.
  • Some ways they do it:
    • Search
    • Knowledge Representation
    • Machine Learning
  • So -- yes or no?
strong ai can machines really think
Strong AI: Can Machines Really Think?
  • Argument from consciousness, Chinese Room
    • Computer programs are formal, syntactic entities
    • Minds have mental contents, or semantics
    • Syntax is not by itself sufficient for semantics
    • Brains cause minds.
  • What do we mean by "really think"?
some ethical issues in ai
Some Ethical Issues in AI
  • The usual automation issues
    • loss of jobs
    • dependence on technology
    • loss of motivation
  • Privacy issues
  • Loss of accountability
  • Danger to humanity (Asimov\'s Three Laws, Vinge\'s Singularity)
  • Do AIs have rights?
what next
What Next?
  • 2003: IJCAI Invited Speakers
    • Computer Vision: AI or Non-AI Problem(Kanade, CMU)
    • The Past, Present and Future of Web Information Retrieval (Henzinger, Google)
    • Deploying Information Agents on the Web (Knoblock, S. Cal)
    • Web Intelligence (WI): A New Paradigm for Developing the Wisdom Web and Social Network Intelligence(Liu, Hong Kong Baptist University)
    • Intelligent Systems in Travel and Tourism(Werthner, University of Trento, Italy)
    • Optimality of Collective Choice in Social Insects and Social Robots(Deneubourg, University Libre du Bruxelles)
    • Self-reconfiguring Robots: Challenges and Successes(Rus, Dartmouth)
    • And papers for 2004
aaai 2004 some workshops
AAAI 2004: Some Workshops
  • Adaptive Text Mining and Extraction
  • Agent Organizations, Coalitions and Teams in Adaptive MultiAgent Systems
  • Challenges in Game AI
  • Semantic Web Personalization
  • Sensor Networks, Anchoring Symbols to Sensor Data
  • Intelligent Agent Architectures
  • Collective Mind: Architectures for Fleets of Equipment that Learn from their Experience
2003 iaai deployed applications papers
2003 IAAI Deployed Applications Papers
  • Criterion Online Essay Evaluation: An Application for Automated Evaluation of Student Essays
  • Mobile Intelligence for Door-to-Door Sales Support System
  • The NASD Securities Observation, New Analysis, and Regulation System (SONAR)
  • TPO: A System for Scheduling and Managing Train Crew in Norway
2003 iaai emerging applications papers
2003 IAAI Emerging Applications Papers
  • Applying Reinforcement Learning to Packet Scheduling in Routers
  • The Analogical Thesaurus
  • Broadcast News Understanding and Navigation
  • Qualitative Spatial Reasoning about Sketch Maps
  • Infrastructure Components for Large-Scale Information Extraction Systems
  • Building Agents for the Customer Service Front
  • Searching for Hidden Messages: Automatic Detection of Steganography
  • A Probabilistic Vehicle Diagnostic System Using Multiple Models
  • A Knowledge Acquisition Tool for Course of Action Analysis
  • Teachable Agents: A Learning by Teaching Environment for Science Domains
  • Secure Mobile Agents on Ad Hoc Wireless Networks
  • Say Cheese!: Experiences with a Robot Photographer
  • Transparent Grid Computing: A Knowledge-Based Approach
  • LAW: A Workbench for Approximate Pattern Matching in Relational Data
  • Guided Conversations about Leadership