Trustworthy AI on the Road

Assess how AI can support road safety through tools such as automated driving or accident reconstruction. What data, testing, and independent oversight are needed to establish reliability in varied real-world conditions? Analyze how responsibility should be divided among developers, operators, regulators, and users when an AI system makes an error, and suggest safeguards that preserve transparency and public confidence.