Data · dataset · 2026
When should a computer decide? Judicial decision-making in the age of automation, algorithms, and generative artificial intelligence
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.17034/32639298.v1
This thesis interrogates what it is about the essenLally human activity of judging disputes that cannot be reliably or safely recreated through AI systems.
Description
To conduct this inquiry, two key ‘ingredients’ of the judicial decision-making process that exemplify this innately social practice are selected for analysis. The ability to participate in judicial decision-making, and the exercise of judicial discretion, are manifestations of the law as it exists within a wider social context, which shapes and condiLons it.
Contrary to some analysis, the law is not applied through the mechanical selection of ‘correct’ precedents to cut and dried facts. The quotidian world of legal practice shows us that the law and its application are cultivated iteratively through a variety of legal actors. In this sense, it is malleable, contingent on context, and not necessarily computable in AI systems, including in the context of sophisticated Large Language Models.
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Indeed, it is this interpretation of the judicial role – as it exists within this wider social context – that prompts consideration of the features of judicial decision-making that either: most clearly exhibit the social and dynamic nature of law; and/or cater to it. This leads to the conclusion that the ability to participate effectively, and the exercise of judicial discretion, cannot be reliably or safely captured by AI systems, including Large Language Models.
Links
Where it is published
- DOI doi.org/10.17034/32639298.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Artificial intelligence · Artificial intelligence · Artificial intelligence · Computer Science & AI · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Humanities · Humanities · Humanities · Social Science · Social Science · Social Science
Provenance · 3 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/32639298 | 9 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/32639298 | 9 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/32639298 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4602 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Artificial intelligence'] |
| concepts[field].anzsrc:group:4602 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Artificial intelligence'] |
| concepts[field].anzsrc:group:4602 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial intelligence'] |
| concepts[field].local:field:computer-science-ai | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:humanities | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license_text | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |