@article{c1090014186a4350a6458c1ed283e8e1,
title = "Artificial intelligence, autonomous drones and legal uncertainties",
abstract = "Drones represent a rapidly developing industry. Devices initially designedfor military purposes have evolved into a new area with a plethora ofcommercial applications. One of the biggest hindrances in thecommercial developments of drones is legal uncertainty concerning thelegal regimes applicable to the multitude of issues that arises with thisnew technology. This is especially prevalent in situations concerningautonomous drones (i.e. drones operating without a pilot). This articleprovides an overview of some of these uncertainties. A scenario basedon the fictitious but plausible event of an autonomous drone falling fromthe sky and injuring people on the ground is analysed from theperspectives of both German and English private law. This workingscenario is used to illustrate the problem of legal uncertainty facingdevelopers, and the article provides valuable knowledge by mapping realuncertainties that impede the development of autonomous dronetechnology alongside providing multidisciplinary insights from law as wellas software electronic and computer engineering.",
keywords = "drones, aviation, autonomous, tort",
author = "Jacques Hartmann and Eva Jueptner and Santiago Matalonga and James Riordan and Samuel White",
year = "2023",
month = mar,
day = "31",
doi = "10.1017/err.2022.15",
language = "English",
volume = "14",
pages = "31--48",
journal = "European Journal of Risk Regulation",
issn = "1867-299X",
publisher = "Cambridge University Press",
number = "1",
}