The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Noise induced hearing loss: Building an application using the ANGELIC methodology
Open accessAbstract
The ANGELIC methodology was developed to encapsulate knowledge of particular legal domains. In this paper we describe its use to build a full scale practical application intended to be used internally by Weightmans, a large firm of legal practitioners with branches throughout the UK. We describe the domain, Noise Induced Hearing Loss (NIHL), the intended task, the sources used, the stages in development and the resulting application. An assessment of the project and its potential for further development is discussed. The project shows that current academic research using computational models of argument can prove useful to legal practitioners confronted by real legal tasks.
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In the citing paper
“machine-learning techniques in ADM for making administrative decisions cannot work in a rule of law situation because machine-learning is actually based on predictions, where a new decision is made on the basis of a data pool of previous decisions”
From Administrative due process when using automated decision-making in public administration: some notes from a Finnish perspective (2021) · cites this paper as Al-Abdulkarim et al. 2019
In the citing paper
“This is problematic, in particular, if the algorithm evolves on its own and amends itself while learning by doing, and particularly so if the programme is based on neural networks involving many levels of nodes (see, e.g., Geslevich Packin and Lev-Aretz 2018, 92-93; Al-Abdulkarim et al. 2019, 12).”
From Administrative due process when using automated decision-making in public administration: some notes from a Finnish perspective (2021) · cites this paper as Al-Abdulkarim et al. 2019, 12
In the citing paper
“machine-learning is actually based on predictions, where a new decision is made on the basis of a data pool of previous decisions”
From Administrative due process when using automated decision-making in public administration: some notes from a Finnish perspective (2021) · cites this paper as Al-Abdulkarim et al. 2019
In the citing paper
“It appears that the above-mentioned ANGELIC example is entirely based on material law, in particular case law (Al-Abdulkarim et al. 2019, 19)”
From Administrative due process when using automated decision-making in public administration: some notes from a Finnish perspective (2021) · cites this paper as Al-Abdulkarim et al. 2019
Citations
Cites
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Research works printed but not linked: 38
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Cited by
Sorted by citations
Suksi, M. (2021) · Artificial Intelligence and Law · doi:10.1007/s10506-020-09269-x · Cited by 55
Metadata
- Authors
- Al-Abdulkarim, L., Atkinson, K., Bench-Capon, T., Whittle, S., Williams, R., & Wolfenden, C.
- Affiliations
- University of Liverpool (GB)
- Weightmans LLP, Liverpool, UK
- Corresponding author
- Atkinson, Katie
- Venue
- Argument & Computation
- Publisher
- SAGE Publications
- Published
- 2018-10-15
- Volume
- 10
- Issue
- 1
- Pages
- 5-22
- ISSN
- 1946-2166 (ISSN-L)
- 1946-2174
- OpenAlex
- W2897626439
- Cited by
- 21
- References
- 2
- Citations by year
- 2026: 1 · 2023: 5 · 2022: 6 · 2021: 3 · 2020: 4 · 2019: 2
- FWCI
- 9.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Argument & Computation (publishedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Law › Artificial Intelligence in Law
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Keywords
- noise-induced hearing loss, legal knowledge representation, argumentation, lawyers, knowledge-based applications
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- CoChat. (2026). Citation check: Noise induced hearing loss: Building an application using the ANGELIC methodology. https://app.cochat.ai/papers/10.3233/aac-181005
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- Al-Abdulkarim, L., Atkinson, K., Bench-Capon, T., Whittle, S., Williams, R., & Wolfenden, C. (2018). Noise induced hearing loss: Building an application using the ANGELIC methodology. Argument & Computation. https://doi.org/10.3233/aac-181005
