title: Application and theoretical development of artificial intelligence in civil proceedings
metadata.name: dc.contributor.author
metadata.value: Gong, Nan
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Dong, Dongxue
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-07-12T15:02:45Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-07-12T15:02:45Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2024-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Gong N., Dong D. 2024. Application and theoretical development of artificial intelligence in civil proceedings. Pravovedenie 68 (2): 241–256. https://doi.org/10.21638/spbu25.2024.208 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu25.2024.208
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/45758
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: With the development of artificial intelligence technology, the scope of application of artificial
  intelligence in the judicial field continues to expand, and the intelligent auxiliary system of decision-
  making has taken root in courts throughout China, which not only greatly alleviates the
  problem of “the existence of a large number of cases and a small number of people” and increases
  judicial efficiency, but also, by assisting judges in considering cases, also contributes to
  the uniform application of laws and the normalization of norms for exercise of discretionary powers.
  A prerequisite for the judicial application of artificial intelligence is the construction of a map
  of legal knowledge, as well as the typification and elementalization of the rules of litigation. The
  theory of justice by legal compositions in legal proceedings and the law of the formation of the
  use of artificial intelligence in justice are inherently compatible, and can be used as an advanced
  and basic theory for deep neural network learning, setting up word segmentation and designing
  a knowledge map. The specific application pathway is to continuously perform hierarchical
  deconstruction in accordance with the theory of justice by legal compositions, deconstruct the
  establishment of the existence of facts and apply deconstruction regulations to different levels
  of elements, and their hierarchical and step-by-step marking by legal experts to form a big data
  map of legal knowledge, marked by elements, for machine learning. To this end, the theoretical
  tool of the intelligent assistive decision-making system model should implement the transition
  from “legal logic + artificial intelligence” to “legal logic + philosophy of procedural law + artificial
  intelligence” so that intelligent auxiliary litigation can truly be integrated into judicial practice.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The study was supported by the Heilongjiang Philosophy and Social Sciences Research planning
  project No 22FXB102.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Pravovedenie;Volume 68; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: artificial intelligence
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: civil proceedings
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: legal composition
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Chinese law
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: justice
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: smart court
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: digitalization
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Application and theoretical development of artificial intelligence in civil proceedings
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 08_Гун+и+др.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/45758/1/08_%d0%93%d1%83%d0%bd%2b%d0%b8%2b%d0%b4%d1%80.pdf
resources.format: Adobe PDF
resources.size: 876,98 kB