AAAI-19 Senior Member Presentation Track

Sponsored by the Association for the Advancement of Artificial Intelligence and the Computing Community Consortium

The Senior Member Presentation Track (SMPT) provides an opportunity for established researchers in the AI community to give a broad talk on a well-developed body of research, an important new research area, or a promising new topic. These presentations provide a big picture view, in contrast to regular papers, which may focus on a specific contribution.

The 2019 program will include the following papers:

Blue Sky Ideas Talks

  • Designing Preferences, Beliefs, and Identities for Artificial Intelligence
    Vincent Conitzer
  • Towards Fluid Machine Intelligence: Can We Make a Gifted AI?
    Ian Davidson and Peter Walker
  • Relating the Structure of a Problem and Its Explanation
    Eugene Freuder
  • Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search
    David Harel, Assaf Marron, Ariel Rosenfeld, Moshe Vardi and Gera Weiss
  • Explainable, Normative, and Justified Agency
    Pat Langley
  • Meaningful Explanations of Black Box AI Decision Systems
    Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri and Franco Turini
  • Building Ethically Bounded AI (Blue Sky Idea Talk)
    Francesca Rossi and Nicholas Mattei
  • Recommender Systems: A Healthy Obsession
    Barry Smyth
  • Envisioning AI for K-12: What should every child know about AI?
    David Touretzky, Christina Gardner-Mccune, Fred Martin and Deborah Seehorn

Summary Talks

  • Learning and the Unknown: Surveying Steps Toward Open World Recognition
    Terrance Boult, Steve Cruz, Akshay Dhamija, Manuel Günther, James Henrydoss and Walter Scheirer
  • Performance Evaluation in Machine Learning: The Good, The Bad, The Ugly and The Way Forward
    Peter Flach
  • Abstractive Summarization: A Survey of the State of the Art
    Hui Lin and Vincent Ng
  • Is Everything Going According to Plan? – Expectations in Goal Reasoning Agents
    Hector Munoz-Avila, Dustin Dannenhauer and Noah Reifsnyder
  • Borda Count in Collective Decision Making: A Summary of Recent Results
    Jörg Rothe
  • Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions
    Victor Sheng and Jing Zhang


Senior Member Track CoChairs

David Aha
Naval Research Laboratory, USA

Judy Goldsmith
University of Kentucky, USA

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