EU regulators, under industry lobbying and fragmented safety standards, withhold autonomous vehicle performance data, exposing gaps in global oversight
Original framing: “Pressured by Tesla, European regulators keep 'Full Self-Driving' safety data secret - Reuters” — Reuters (via Google News)
Robust scientific evaluation of full‑self‑driving (FSD) requires large‑scale, longitudinal datasets that capture edge‑case scenarios, sensor failures, and human‑machine interaction under diverse weather conditions. Peer‑reviewed methodologies, such as statistical safety validation and Monte‑Carlo simulations, are essential to translate raw telemetry into meaningful risk metrics. The current opacity prevents independent verification and hampers evidence‑based policy.
The concealment of FSD safety data in Europe is not merely a corporate‑regulatory tug‑of‑war but a symptom of fragmented legislative authority, historical regulatory capture, and insufficient inclusion of diverse epistemologies.
By integrating indigenous stewardship concepts, historical lessons from past automotive safety battles, and cross‑cultural governance experiments, the EU can construct a transparent, scientifically robust, and socially equitable framework. Empowering marginalised voices through advisory councils and embedding future‑scenario modeling will align technological progress with public safety, while a mandatory telemetry repository ensures accountability. Such systemic reform transforms the current paradox of hidden risk into an open, collaborative safety ecosystem.