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Technical Aspects of Artificial Intelligence: An Understanding from an Intellectual Property Law Perspective

SSRN, ISSN: 1556-5068
2019
  • 9
    Citations
  • 15,952
    Usage
  • 57
    Captures
  • 0
    Mentions
  • 43
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    9
    • Citation Indexes
      7
    • Policy Citations
      2
      • Policy Citation
        2
  • Usage
    15,952
    • Abstract Views
      11,723
    • Downloads
      4,229
  • Captures
    57
    • Readers
      56
    • Exports-Saves
      1
      • SSRN
        1
  • Social Media
    43
    • Shares, Likes & Comments
      43
      • Facebook
        43
  • Ratings
    • Download Rank
      4,948

Article Description

The present Q&A paper aims at providing an overview of artificial intelligence with a special focus on machine learning as a currently predominant subfield thereof. Machine learning-based applications have been discussed intensely in legal scholarship, including in the field of intellectual property law, while many technical aspects remain ambiguous and often cause confusion. This text was drafted by the Research Group on the Regulation of the Digital Economy of the Max Planck Institute for Innovation and Competition in the pursuit of understanding the fundamental characteristics of artificial intelligence, and machine learning in particular, that could potentially have an impact on intellectual property law. As a background paper, it provides the technological basis for the Group’s ongoing research relating thereto. The current version summarises insights gained from background literature research, interviews with practitioners and a workshop conducted in June 2019 in which experts in the field of artificial intelligence participated.

Bibliographic Details

Josef Drexl; Reto Hilty; Francisco Beneke; Luc Desaunettes-Barbero; Michèle Finck; Jure Globocnik; Begoña Gonzalez Otero; Jörg Hoffmann; Leonard Hollander; Daria Kim; Heiko Richter; Stefan Scheuerer; Peter R. Slowinski; Jannick Thonemann

Elsevier BV

Multidisciplinary; Artificial intelligence; Machine learning; Intellectual property law; Technology; Digital economy

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