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https://dx.doi.org/10.48550/ar...
Article . 2020
License: CC BY NC SA
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Artificial intelligence in space

Authors: Long, George Anthony; Santos, Cristiana; Rapp, Lucien; Markovich, Réka; van der Torre, Leon;

Artificial intelligence in space

Abstract

In the next coming years, space activities are expected to undergo a radical transformation with the emergence of new satellite systems or new services which will incorporate the contributions of artificial intelligence and machine learning defined as covering a wide range of innovations from autonomous objects with their own decision-making power to increasingly sophisticated services exploiting very large volumes of information from space. This chapter identifies some of the legal and ethical challenges linked to its use. These legal and ethical challenges call for solutions which the international treaties in force are not sufficient to determine and implement. For this reason, a legal methodology must be developed that makes it possible to link intelligent systems and services to a system of rules applicable thereto. It discusses existing legal AI-based tools amenable for making space law actionable, interoperable and machine readable for future compliance tools.

32 pages

Keywords

: Computer science [C05] [Engineering, computing & technology], FOS: Computer and information sciences, Computer Science - Computers and Society, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computers and Society (cs.CY), : Sciences informatiques [C05] [Ingénierie, informatique & technologie]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green