The Canadian Robotics and Artificial Intelligence Ethical Design Lab
Transforming engineering practice and policymaking through transdisciplinary research on the sociotechnical and ethical aspects of robotics and AI
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Join our student networks, events and initiatives, and help shape responsible robotics and AI.
Research
At CRAiEDL, we bridge the worlds of ethics, engineering design, and policy with practical research aimed at supporting responsible robotics and AI development, deployment, and governance.
Robotics and AI Policy
CRAiEDL STEAM Collective
Ethical Design Tools
Automated Mobility
Healthcare Robotics and AI
Autonomous Weapons Systems
Latest CRAiEDL Activity
Documentary Screening: AI Gone Wild
Join the CRAiEDL Student AI Policy Network’s inaugural event: a screening of the Netflix documentary AI Gone Wild and a discussion of the Hugging Face incident’s implications for policy.
We Have Failed Our First Collective AI Safety Challenge
Let’s take a moment to recap the recent AI Safety headlines:
The Role of Art in Challenging Digital Urbanism
An interactive research-creation piece tracing Situationist ideas about urbanism, psychogeography, and walking into a critique of the digital mapping platforms we navigate cities with today.
Safety and Risk—Why Their Definitions Matter
With ‘safety’ and ‘risk’ being two terms of major importance in the field of automated driving this chapter provides a selection of meanings and uses of these terms that are found either in safety engineering frameworks or in statements of different stakeholder groups. The analysis showed that there are fundamental differences in the kinds of risks that are addressed in various safety claims and concerns. Different meanings and uses of these terms among stakeholders “might lead to mismatched expectations of the safety of automated vehicles.” The chapter therefore provides “a set of questions to further break down a safety concern into the included aspects of risk,” and suggests “a more transparent communication of assumptions that are made when raising safety claims or concerns.”
The Government of Canada falls short on its claims it used AI responsibly in its National AI Strategy Public Consultation
I used an LLM to analyze the Government of Canada's recently released "What We Heard" report. The conclusions it reached suggest more transparency and honesty are required if the government wants their use of AI to be trustworthy, and to convince Canadians they are being heard. Read more at the link below.
Secure AI Is Not Safe AI
If Canada wants safe AI, focusing on AI security won't deliver.
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