title: European Union civil liability frameworks in the age of artificial intelligence: Assessing current regimes and future prospects
metadata.name: dc.contributor.author
metadata.value: Ampovska, Marija
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-08-27T11:17:35Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-08-27T11:17:35Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2024-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Ampovska, Marija. 2024. “European Union civil liability frameworks in the age of artificial intelligence: Assessing current regimes and future prospects”. Vestnik of Saint Petersburg University. Law 2: 466–482. https://doi.org/10.21638/spbu14.2024.210
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu14.2024.210
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/47319
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: This study intends to evaluate the suitability of the EU’s liability regimes in solving AI-related
  concerns by carefully examining the current legal environment. It also examines the consequences
  and viability of using these frameworks to consider the special features of AI technology.
  Furthermore, the article offers insight into the growing nature of AI liability inside the EU
  and its potential by thoroughly examining current regulations and evaluating the suggested
  revisions and proposals for prospects. Some of the questions that are the focus of the attention
  in the article are the burden of proof and its allocation in cases involving AI-caused damages,
  the standard of proof required to establish liability in AI-related cases, whether a preponderance
  of evidence, clear and convincing evidence, or a higher standard should be applied in
  different scenarios and the difficulties in establishing causation in AI-related damages. The
  method used in this paper will consist of conducting a comparative analysis based on the
  hypothesis (bearing in mind that there is no established court practice in the EU with regard
  to this matter) of how different jurisdictions in the EU handle liability and proof standards
  in AI-related cases, highlighting of any emerging trends or most suitable doctrines and practices.
  These questions certainly open a discussion of the potential future developments in AI
  liability law, considering the rapid advancements in AI technology and how legal standards
  might need to adapt as AI systems become more sophisticated. By focusing on these practical
  aspects of AI liability, this research can offer valuable insights into how the legal system can
  effectively address the challenges posed by AI technology and set the legal bases for fair and
  just outcomes for all parties involved.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: In the proposal for an EU regulatory framework on artificial intelligence (AI) in April 2021, the
  Commission proposes to establish a legal definition of “AI system” in EU law, which is largely based on a
  definition already used by the OECD (Recommendation of the Council on Artificial Intelligence. Accessed
  May 25, 2024. https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL‑0449).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
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: Vestnik of St Petersburg University. Law;Volume 15; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: artificial intelligence
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: civil liability
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: burden of proof
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: standard of proof
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: causation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: damage
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: European Union civil liability frameworks in the age of artificial intelligence: Assessing current regimes and future prospects
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 466-482.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/47319/1/466-482.pdf
resources.format: Adobe PDF
resources.size: 679,4 kB