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

MPG-Autoren
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Drexl,  Josef
MPI for Innovation and Competition, Max Planck Society;

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Hilty,  Reto M.
MPI for Innovation and Competition, Max Planck Society;

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Beneke,  Francisco
MPI for Innovation and Competition, Max Planck Society;

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Desaunettes,  Luc
MPI for Innovation and Competition, Max Planck Society;

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Finck,  Michele
MPI for Innovation and Competition, Max Planck Society;

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Globocnik,  Jure
MPI for Innovation and Competition, Max Planck Society;

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Gonzalez Otero,  Begoña
MPI for Innovation and Competition, Max Planck Society;

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Hoffmann,  Jörg
MPI for Innovation and Competition, Max Planck Society;

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Hollander,  Leonard
MPI for Innovation and Competition, Max Planck Society;

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Kim,  Daria
MPI for Innovation and Competition, Max Planck Society;

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Richter,  Heiko
MPI for Innovation and Competition, Max Planck Society;

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Scheuerer,  Stefan
MPI for Innovation and Competition, Max Planck Society;

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Slowinski,  Peter R.
MPI for Innovation and Competition, Max Planck Society;

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Thonemann,  Jannick
MPI for Innovation and Competition, Max Planck Society;

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Zitation

Drexl, J., Hilty, R. M., Beneke, F., Desaunettes, L., Finck, M., Globocnik, J., et al. (2019). Technical Aspects of Artificial Intelligence: An Understanding from an Intellectual Property Law Perspective. Max Planck Institute for Innovation & Competition Research Paper, No. 19-13.


Zitierlink: https://hdl.handle.net/21.11116/0000-0004-D2E4-D
Zusammenfassung
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.