Funding Opportunities in Biologically Inspired AI and Computational Intelligence Research

Panel Chair: Robert Kozma

Panelists (tentative list): Nandini Iyer, AFOSR; Anthony Kuh, NSF; HavaSiegelmann, DARPA; WlodekDuch, INCF, EU, more TBD.

Abstract

This panel addresses novel avenues to support computational intelligence research. Representatives of funding agencies and leading experts in the field will describe research challenges and funding opportunities. Which cutting edge areas are at the focus of new funding initiatives? The panel will provide a forum for thorough discussions on these topics between the panelists. It is expected to have an intensive questions and answers section with the audience.

Kostas Kolomvatsos (University of Thessaly, GR)

Thanasis Loukopoulos (University of Thessaly, GR)

Landscape of Publications in Computational Intelligence 

Panel Chair: Jim Keller

Panelists (tentative list): Kenji Doya (Neural Networks), Deliang Wang (Neural Networks), Haibo He (TNNLS), KC Tan (TEVC), Jonathan Garibaldi (TFS), Chuan-Kang Ting (CIM), Yew Soon Ong (TETI), YaochuJin (TCDS), Julian Togelius (ToG)

Abstract

Publish or perish is an aphorism referring to the major demand in academia and in advanced research organizations. The landscape of publishing undergoes drastic changes, and it is crucial for authors and publishers to address these challenges. This panel will provide the opportunity to exchange ideas on these critical issues, including the interdisciplinary nature of our research field, questions on the societal impact of intelligent technologies, academic honesty, open access publishing models, relationship between journal and conference papers, preprint repositories, repositories of data and methods, among others.

Issues of Cutting Edge AI and Advanced Computational Intelligence Research

Panel Chair: Jose Principe

Panelists: TBD

Abstract

Spectacular successes of deep neural networks produce AI with super-human performance in various practical problem domains. These achievements help to drastically increase our quality of life. At the same time, the success of AI raises many important questions and potential worries related to the future of humanity. This panel gives a forum to discuss about the ethical implications of AI, including: How Close Are We to Creating an AI Program which parallels general human intelligence? What is the responsibility of scientists conducting AI research? Can We Apply Human Ethics to AI?

Explainability and Interpretablility When Using Fuzzy Sets and Systems: Opportunities and Challenges

Panel Co-Chairs: Hani Hagras and Jerry Mendel

Panelists (tentative list): HisaoIshubishi, Qiang Shen, Jon Garibaldi, E. Hullermeir, more TBD.

Abstract

Explainable AI (XAI) is today a worldwide hot research and development topic. This is due to the rapid increase in computing power coupled with a rapid growth in the availability and quantity of data. Explanations use words, or words and data, and so fuzzy sets and systems seem like natural and valuable contributors to XAI, but to-date they do not seem to be recognized as such by the XAI community. The purpose of this panel session is to address this in a constructive way. To do this we will assemble a panel of researchers from the fuzzy logic community who are already known to have published about interpretability of fuzzy sets.

Unlike most panel sessions where panelists present mini papers, this panel session will not do this. Instead, a small set of questions will be generated, one panelist will be asked to lead off the discussion for each question, after which the remaining panelists will have an opportunity to make remarks. Audience participation will be encouraged. Tentative questions are:

  • What are the unique contributions that fuzzy sets and systems can make to XAI?
  • What is meant by “interpretable fuzzy sets and systems” for academia versus for industry?
  • Do we need global or local interpretability when it comes to fuzzy systems and their decisions?
  • Does Computing With Words have a role to play in XAI?
  • What are the steps needed to allow fuzzy sets and systems to be used as a basis of future XAI when most people are not even aware of fuzzy sets and systems as valid XAI techniques?

Venue: IEEE WCCI 2020 will be held in Glasgow, Scotland, UK – one of Europe’s most dynamic cultural capitals and the “World’s Friendliest City” [Rough Guide 2015]. Steeped in culture, rich in history and alive with an excitement you can sense as you walk through its elegant Victorian streets, squares, parks and gardens. The Conference will be held at the prestigious Scottish Event Campus (SEC), which was a key venue for the 2014 Glasgow Commonwealth Games.