[PlanetKR] Spotlight Seminar on AI - FRANCESCA ROSSI - December 16

Chiara Ghidini ghidini at fbk.eu
Sat Dec 10 11:13:20 UTC 2022

[* Apologies in case of multiple posting *]


The Italian Association for Artificial Intelligence is pleased to announce the next seminar of its Spotlight Seminars on AI initiative (https://aixia.it/incontri/autumn2022/ <https://aixia.it/incontri/autumn2022/>):

December, 16 – 5:00PM (CET)

Title: Thinking fast and slow in AI: a cognitive architecture for both autonomous and hybrid human-AI systems

Speaker: FRANCESCA ROSSI, IBM T.J. Watson Research Center

The aim of the seminar series is to illustrate, explore and discuss current scientific challenges, trends, and possibilities in all branches of our articulated research field. The seminars will be held virtually on the YouTube channel of the Association (https://www.youtube.com/c/AIxIAit <https://www.youtube.com/c/AIxIAit>), on a monthly basis (and made permanently available on that channel), by leading Italian researchers as well as by top international scientists. 

The seminars are mainly aimed at a broad audience interested in AI research, and they are also included in the Italian PhD programme in Artificial Intelligence; indeed, AIxIA warmly encourages the attendance of young scientists and PhD students. 


Bio: Francesca Rossi is an IBM Fellow and the IBM AI Ethics Global Leader. She is based at the T.J. Watson IBM Research Lab, New York, USA, where she leads AI research projects. Her research interests focus on artificial intelligence, with special focus on constraint reasoning, preferences, multi-agent systems, computational social choice, neuro-symbolic AI, cognitive architectures, and value alignment. She co-chairs the IBM AI Ethics board and she participates in many global multi-stakeholder initiatives on AI ethics, such as the Partnership on AI, the World Economic Forum, the United Nations ITU AI for Good Summit, and the Global Partnership on AI. She is a fellow of both AAAI and of EurAI, she has been president of IJCAI and the Editor in Chief of the Journal of AI Research. Currently she is the president of Association for the Advancement of Artificial Intelligence (AAAI).

Abstract: Current AI systems lack several important human capabilities, such as adaptability, generalizability, self-control, consistency, common sense, and causal reasoning. We believe that existing cognitive theories of human decision making, such as the thinking fast and slow theory, can provide insights on how to advance AI systems towards some of these capabilities. In this talk I will present a general architecture that is based on fast/slow solvers and a metacognitive component, showing  experimental results on the behavior of an instance of this architecture, for AI systems that make decisions about navigating in a  constrained environment. They show how combining the fast and slow decision modalities allows the system to evolve over time and gradually pass from slow to fast thinking with enough experience, and that this greatly helps in decision quality, resource consumption, and efficiency. I will also describe how this architecture can be used to support human decision making.


The Spotlight Seminars on AI Committee, 

Giuseppe De Giacomo

Chiara Ghidini

Gianluigi Greco

Marco Maratea
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