Weak AI: Can Machines Act Intelligently? Some things they can do: –Computer vision: face recognition from a large set –Robotics: autonomous (mostly) car.

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Presentation transcript:

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? 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 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? 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 2004And papers for 2004

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 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 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

Where Will We Be in 25 Years? 2004 ?? 2029 ??

And what if we get there?