Weak AI: Can Machines Act Intelligently?

1. 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?

2. 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"?

3. 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?

4. 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

5. 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

6. 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

7. 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

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

9. And what if we get there?