SIOE 2022

Programme

Toronto, Canada 23 June 2022 – 25 June 2022
Instructions for SIOE 2022

Presenters are asked to provide a 20-minute overview of their paper which will be followed by 10 minutes of discussion.

In-person presenters are asked to bring their presentation on a USB key in PowerPoint or PDF formats (the rooms are equipped with Windows based systems, and the hybrid nature of the sessions makes using personal laptops challenging). Please reach out to Dawn Bloomfield (dawn.bloomfield@utoronto.ca) with any questions.

On-line presenters are asked to please be prepared to share your presentation/screen in the zoom meeting. Please reach out to Dawn Bloomfield (dawn.bloomfield@utoronto.ca) to arrange a test session to address any questions you may have. Chairs are asked to please keep time of the sessions and moderate the discussions (look for/address raised hands in the meeting room and in the zoom chat). There will be technical support in all the rooms to assist with the zoom interface.

All times are shown in Paris time (CEST, UTC+2) · Underlined = presenting author

Thursday, June 23

Full conference program in EDT.

AI Tutorial 1

In our morning tutorial, we'll introduce participants to the basic methods used by modern machine learning researchers (supervised, self-supervised and unsupervised learning and reinforcement learning); the framework used to simulate and analyze multi-agent systems composed of artificial agents; the formal tests used by machine learning researchers to evaluate algorithmic bias and develop explanations; and the techniques used to construct the recommender systems that shape social media, online commerce, and more.

AI Tutorial 2

In our afternoon tutorial, we'll discuss research in machine learning that invokes institutions and organizations that are well known to the SIOE audience. We'll discuss the insights available for AI from incomplete contracting theory, how contracts might be deployed in multiagent settings, what we learn about the tragedy of the commons, norms and culture from multiagent simulations, how algorithmic bias and explainability challenges might impact organizational design and regulation, and how democratic processes might be devised to improve the alignment of algorithms and recommender systems with social welfare.

Registration

Location: Atrium
Keynote

Keynote #1 - Room J250

(in-person) Siwan Anderson (UBC): “Unbundling Female Autonomy”

Reception

Location: Atrium