Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety

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dc.citation.volumeeaac002
dc.contributor.authorMcLachlan S
dc.contributor.authorNeil M
dc.contributor.authorDube K
dc.contributor.authorBogani R
dc.contributor.authorFenton N
dc.contributor.authorSchaffer B
dc.date.available2022-02-22
dc.date.issued2022-02-22
dc.description.abstractDriving is an intuitive task that requires skill, constant alertness and vigilance for unexpected events. The driving task also requires long concentration spans, focusing on the entire task for prolonged periods, and sophisticated negotiation skills with other road users including wild animals. Modern motor vehicles include an array of smart assistive and autonomous driving systems capable of subsuming some, most, or in limited cases, all of the driving task. Building these smart automotive systems requires software developers with highly technical software engineering skills, and now a lawyer’s in-depth knowledge of traffic legislation as well. This article presents an approach for deconstructing the complicated legalese of traffic law and representing its requirements and flow. Our approach (de)constructs road rules in legal terminology and specifies them in ‘structured English logic’ that is expressed as ‘Boolean logic’ for automation and ‘Lawmaps’ for visualization. We demonstrate an example using these tools leading to the construction and validation of a ‘Bayesian Network model’. We strongly believe these tools to be approachable by programmers and the general public, useful in development of Artificial Intelligence to underpin motor vehicle smart systems, and in validation to ensure these systems are considerate of the law when making decisions.
dc.description.confidentialfalse
dc.format.extent1 - 41 (41)
dc.identifierhttps://academic.oup.com/ijlit/advance-article/doi/10.1093/ijlit/eaac002/6534108
dc.identifier.citationInternational Journal of Law and Information Technology, 2022, eaac002 pp. 1 - 41 (41)
dc.identifier.doi10.1093/ijlit/eaac002
dc.identifier.elements-id451231
dc.identifier.harvestedMassey_Dark
dc.identifier.issn0967-0769
dc.publisherOxford University Press
dc.publisher.urihttps://academic.oup.com/ijlit/advance-article/doi/10.1093/ijlit/eaac002/6534108
dc.relation.isPartOfInternational Journal of Law and Information Technology
dc.rightsCC BY 4.0
dc.subjectsmart technology
dc.subjectautomotive technology
dc.subjectRoad Rules
dc.subjectLaw
dc.subjectArtificial Intelligence
dc.subjectKnowledge Modelling
dc.subjectBoolean Logic
dc.subjectBayesian Networks
dc.subjectinformation visualisation
dc.subject.anzsrc0899 Other Information and Computing Sciences
dc.subject.anzsrc1702 Cognitive Sciences
dc.subject.anzsrc1801 Law
dc.titleSmart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Mathematical and Computational Sciences
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