Automated Mobility

CRAiEDL is researching the sociotechnical and regulatory impacts of automated mobility systems with embedded AI, including advanced driver assist systems (ADAS), fully autonomous vehicles (AVs), and automated navigation systems (ANS).

These systems are disrupting existing automotive engineering and regulatory norms, demanding a closer examination so society can make decisions regarding their appropriate development and deployment.

Automated Mobility

Privacy Protection of Automated and Self-Driving Vehicles

SPIDER: Interplay Assessment Method for Privacy and Other Values

Driving Into the Loop: Mapping Automation Bias & Liability Issues for Advanced Driver Assist Systems

Three Principles for Testing Safety-Critical Robotics and AI In Public.

Driver perceptions of advanced driver assistance systems and safety

Choosing Canada’s Automotive Future – The Expert Panel on Connected and Autonomous Vehicles and Shared Mobility

People Packets and Fairness in the Age of Algorithmically Controlled Mobility Shaping

A Framework for Addressing Ethical Considerations in the Engineering of Automated Vehicles (and Other Technologies).

Designing Automated Vehicles Around Human Values

Hacking Metaphors in the Anticipatory Governance of Emerging Technology: The Case of Regulating Robots

Ethics Setting for Autonomous Vehicles.

An Ethics Evaluation Tool for Automating Ethical Decision-Making in Robots and Self-Driving Cars.

Technology as Moral Proxy - Autonomy and Paternalism by Design.

You Should Have a Say In Your Robot Car’s Code of Ethics

Should Your Robot Driver Kill You to Save a Child’s Life?

An ethical dilemma: When robot cars must kill, who should pick the victim?

People as Packets in the Age of Algorithmic Mobility Shaping

Redrawing Canada’s Safety Lines for AV/CV

Will Privacy Be the Next Moral Crumple Zone?

Transcending Trolley Problems: Reframing and Resolving Ethical Problems for AV/CV Safety

Safety and Risk – Why Their Definitions Matter