Car accidents in the age of robots
Bibliographic Data
| ID | 21451820 |
|---|---|
| Authors | Alessandro De Chiara (0000-0002-7951-7189, Barcelona School of Economics, corresponding author), Idoia Elizalde (0000-0002-1952-1979, Universitat Pompeu Fabra), Ester Manna (0000-0002-6932-0577, Barcelona School of Economics), Adrian Segura-Moreiras (0000-0001-6096-7297, Universitat Pompeu Fabra) |
| Year | 2021 |
| Volume | 68 |
| Pages | 106022 |
| Publication date | 2021-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Review of Law and Economics (JOURNAL) |
| Journal identifiers | ISSN: 0144-8188 • E-ISSN: 1873-6394 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.irle.2021.106022 |
| OpenAlex | W3200187396 |
| Language | EN |
| Citations received | 6 |
| References cited | 23 |
In this paper, we compare liability rules in a world where human-driven and fully-autonomous cars coexist. We develop a model where a manufacturer can invest to improve the safety of autonomous cars. Human drivers may decide to purchase a fully-autonomous car to save precaution costs to avoid road accidents and shift liability to the car manufacturer. As compared to the negligence rule, a strict liability regime on both human drivers and car manufacturers is proved to be a superior policy. In particular, strict liability leads to more efficient R&D investments to enhance the benefits of the technology and favors the adoption of fully-autonomous cars. We also recommend that users of fully-autonomous cars make a technology-dependent payment to a third-party if there is an accident to discipline their activity levels
Accident (philosophy) · Business · Computer security · Liability · Payment · Risk analysis (engineering) · Transport engineering · Computer Science · Engineering · Ethics and Social Impacts of AI · Finance · Law, Economics, and Judicial Systems · Regulation and Compliance Studies
| Citations per year | 2 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |