An argumentation and ontology based legal support system for AI vehicle design

Yiwei Lu; Zhe Yu; Yuhui Lin; Burkhard Schafer; Andrew Ireland; Lachlan Urquhart

doi:10.3233/FAIA220469

An argumentation and ontology based legal support system for AI vehicle design

Yiwei Lu, Zhe Yu^*, Yuhui Lin, Burkhard Schafer, Andrew Ireland, Lachlan Urquhart

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

As AI products continue to evolve, increasingly legal problems are
emerging for the engineers that design them. Current laws are often ambiguous,
inconsistent or undefined when it comes to technologies that make use of AI. Engi-
neers would benefit from decision support tools that provide engineer’s with legal
advice and guidance on their design decisions. This research aims at exploring a
new representation of legal ontology by importing argumentation theory and con-
structing a trustworthy legal decision system. While the ideas are generally appli-
cable to AI products, our initial focus has been on Autonomous Vehicles (AVs).

Original language	English
Title of host publication	Legal Knowledge and Information Systems
Subtitle of host publication	JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14–16 December 2022
Editors	Enrico Francesconi, Georg Borges, Christoph Sorge
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	213-218
Number of pages	6
ISBN (Electronic)	9781643683652
ISBN (Print)	9781643683645
DOIs	https://doi.org/10.3233/FAIA220469
Publication status	Published - 1 Dec 2022

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Publisher	IOS Press
Volume	362
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Keywords / Materials (for Non-textual outputs)

legal ontology
autonomous vehicle
legal detection
argumentation theory
explainable AI

Access to Document

10.3233/FAIA220469Licence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

LuEtal2022LKISAnArgumentationAndOntologyBasedFinal published version, 256 KBLicence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

1 Finished
1 Active

Trustworthy Autonomous Systems Regulation and Governance Node
Urquhart, L.
1/11/20 → 30/11/24
Project: Research
AISEC: AI Secure and Explainable by Construction
Aspinall, D. & Schafer, B.
EPSRC
1/09/20 → 31/08/23
Project: Research

1 Article

Smart automotive technology adherence to the law: (De)constructing road rules for autonomous system development, verification and safety
Mclachlan, S., Neil, M., Dube, K., Bogani, R., Fenton, N. & Schafer, B., 12 Mar 2022, In: International Journal of Law and Information Technology. 29, 4, p. 255-295 40 p., eaac002.
Research output: Contribution to journal › Article › peer-review

Open Access
File

1 Membership of board

SCRIPT Centre (Organisational unit)
Lachlan Urquhart (Member)
1 Jan 2022
Activity: Membership types › Membership of board

Cite this

Lu, Y., Yu, Z., Lin, Y., Schafer, B., Ireland, A., & Urquhart, L. (2022). An argumentation and ontology based legal support system for AI vehicle design. In E. Francesconi, G. Borges, & C. Sorge (Eds.), Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14–16 December 2022 (pp. 213-218). (Frontiers in Artificial Intelligence and Applications; Vol. 362). IOS Press. https://doi.org/10.3233/FAIA220469

Lu, Yiwei ; Yu, Zhe ; Lin, Yuhui et al. / An argumentation and ontology based legal support system for AI vehicle design. Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14–16 December 2022. editor / Enrico Francesconi ; Georg Borges ; Christoph Sorge. Amsterdam : IOS Press, 2022. pp. 213-218 (Frontiers in Artificial Intelligence and Applications).

@inproceedings{277541432d54403688b78fe335252257,

title = "An argumentation and ontology based legal support system for AI vehicle design",

abstract = "As AI products continue to evolve, increasingly legal problems areemerging for the engineers that design them. Current laws are often ambiguous,inconsistent or undefined when it comes to technologies that make use of AI. Engi-neers would benefit from decision support tools that provide engineer{\textquoteright}s with legaladvice and guidance on their design decisions. This research aims at exploring anew representation of legal ontology by importing argumentation theory and con-structing a trustworthy legal decision system. While the ideas are generally appli-cable to AI products, our initial focus has been on Autonomous Vehicles (AVs).",

keywords = "legal ontology, autonomous vehicle, legal detection, argumentation theory, explainable AI",

author = "Yiwei Lu and Zhe Yu and Yuhui Lin and Burkhard Schafer and Andrew Ireland and Lachlan Urquhart",

year = "2022",

month = dec,

day = "1",

doi = "10.3233/FAIA220469",

language = "English",

isbn = "9781643683645",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "213--218",

editor = "Enrico Francesconi and Georg Borges and Christoph Sorge",

booktitle = "Legal Knowledge and Information Systems",

}

Lu, Y, Yu, Z, Lin, Y, Schafer, B, Ireland, A & Urquhart, L 2022, An argumentation and ontology based legal support system for AI vehicle design. in E Francesconi, G Borges & C Sorge (eds), Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14–16 December 2022. Frontiers in Artificial Intelligence and Applications, vol. 362, IOS Press, Amsterdam, pp. 213-218. https://doi.org/10.3233/FAIA220469

An argumentation and ontology based legal support system for AI vehicle design. / Lu, Yiwei; Yu, Zhe; Lin, Yuhui et al.
Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14–16 December 2022. ed. / Enrico Francesconi; Georg Borges; Christoph Sorge. Amsterdam: IOS Press, 2022. p. 213-218 (Frontiers in Artificial Intelligence and Applications; Vol. 362).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An argumentation and ontology based legal support system for AI vehicle design

AU - Lu, Yiwei

AU - Yu, Zhe

AU - Lin, Yuhui

AU - Schafer, Burkhard

AU - Ireland, Andrew

AU - Urquhart, Lachlan

PY - 2022/12/1

Y1 - 2022/12/1

N2 - As AI products continue to evolve, increasingly legal problems areemerging for the engineers that design them. Current laws are often ambiguous,inconsistent or undefined when it comes to technologies that make use of AI. Engi-neers would benefit from decision support tools that provide engineer’s with legaladvice and guidance on their design decisions. This research aims at exploring anew representation of legal ontology by importing argumentation theory and con-structing a trustworthy legal decision system. While the ideas are generally appli-cable to AI products, our initial focus has been on Autonomous Vehicles (AVs).

AB - As AI products continue to evolve, increasingly legal problems areemerging for the engineers that design them. Current laws are often ambiguous,inconsistent or undefined when it comes to technologies that make use of AI. Engi-neers would benefit from decision support tools that provide engineer’s with legaladvice and guidance on their design decisions. This research aims at exploring anew representation of legal ontology by importing argumentation theory and con-structing a trustworthy legal decision system. While the ideas are generally appli-cable to AI products, our initial focus has been on Autonomous Vehicles (AVs).

KW - legal ontology

KW - autonomous vehicle

KW - legal detection

KW - argumentation theory

KW - explainable AI

U2 - 10.3233/FAIA220469

DO - 10.3233/FAIA220469

M3 - Conference contribution

SN - 9781643683645

T3 - Frontiers in Artificial Intelligence and Applications

SP - 213

EP - 218

BT - Legal Knowledge and Information Systems

A2 - Francesconi, Enrico

A2 - Borges, Georg

A2 - Sorge, Christoph

PB - IOS Press

CY - Amsterdam

ER -

Lu Y, Yu Z, Lin Y, Schafer B, Ireland A, Urquhart L. An argumentation and ontology based legal support system for AI vehicle design. In Francesconi E, Borges G, Sorge C, editors, Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14–16 December 2022. Amsterdam: IOS Press. 2022. p. 213-218. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA220469

An argumentation and ontology based legal support system for AI vehicle design

Abstract / Description of output

Publication series

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Projects

Trustworthy Autonomous Systems Regulation and Governance Node

AISEC: AI Secure and Explainable by Construction

Research output

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

Activities

SCRIPT Centre (Organisational unit)

Cite this