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Dr. Peter Lewis chaired the panel discussion at the Workshop on Responsible Language Models (ReLM) at the 38th Annual AAAI Conference on Artificial Intelligence, on responsible adoption of language models.

The panel explored how industry and academia can collaborate on the responsible deployment and use of language models, how LLMs are raising new challenges in putting responsible AI frameworks into action, and some of the concerns that emerge when users’ expectations about AI inevitably do not always align with the capabilities of the machine. The panel featured speakers from Google, Microsoft, Borealis AI, Roche, as well as from academia.

Trustworthy AI Lab Director and Canada Research Chair Dr. Peter Lewis was featured as an expert speaker on a recent webinar by Lancaster House, on the impact of AI on work and labour relations.

Trustworthy AI Lab researchers, along with international collaborators, have published two articles in the latest issue of IEEE Technology and Society Magazine.

The first, Human Centricity in the Relationship Between Explainability and Trust in AI, with Zahra Atf, discusses reasons why explainable AI does not always lead to increases in trust, and sometimes actually the reverse.

We are delighted to welcome Dr. Chukwunonso Nwokoye and Dr. Joelma Peixoto to the Trustworthy AI Lab team. Both join us as postdoctoral research fellows, working on accessible explainable AI for people with disabilities, in partnership with CNIB.

Dr. Peter Lewis, Trustworthy AI Lab Director and Canada Research Chair, and Dr. Theresa Stotesbury, Assistant Professor in Forensic Science and head of the Forensic Chemistry and Materials Lab also at Ontario Tech, delivered a joint webinar at the Bloodstain Pattern Analysis Section of the Canadian Society for Forensic Science.

We are recruiting for a postdoctoral research fellow in the area of accessible explainable AI for people with vision loss. We would welcome and encourage applicants with lived experience of vision loss. See here for more details or email Peter for an informal chat about the role.

On October 11th Peter R. Lewis, Zahra Ahmadi, and Parisa Salmani led the Bias and Fairness in Algorithms Breakout Session at the Women in STEM Summit. The Summit’s focus was on allyship and disrupting bias, and empowering the next generation of women leaders by celebrating the successes of those who came before.

Trustworthy AI Lab Director and Canada Research Chair Dr. Peter Lewis gave an invited keynote talk at the 2023 Toronto Public Library Digital Expo. The talk, held at the new exhibition venue at the North York library, explored aspects of trust and trustworthiness in the face of recently-developed AI-based tools such as ChatGPT and Midjourney, highlighting impressive results as well as some surprising causes for concern. In the talk, Dr. Lewis drew attention to the importance of a human-centred conception of trust, and what we can do to empower people to make good trust decisions about AI.

From the 25th-29th of September, members of the Trustworthy AI Lab attended the 4th IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS2023), here in Toronto!

Peter, this years (co) General Chair, was delighted to welcome and bring this wonderful research community back together in person for the first time in four years!