Robustness and explainability of Artificial Intelligence (Registro nro. 5620)

000 -LEADER
fixed length control field 03934nam a22003977a 4500
001 - CONTROL NUMBER
control field 00005620
003 - CONTROL NUMBER IDENTIFIER
control field ES-MaONT
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220719152924.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200122s2020 lu a|||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-92-76-14660-5 (online)
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1831-9424 (online)
024 ## - OTHER STANDARD IDENTIFIER
Additional codes following the standard number or code .
Source of number or code doi
Standard number or code 10.2760/57493
040 ## - CATALOGING SOURCE
Original cataloging agency ES-MaONT
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hamon, Ronan
9 (RLIN) 3915
245 10 - TITLE STATEMENT
Title Robustness and explainability of Artificial Intelligence
Remainder of title : from technical to policy solutions
Statement of responsibility, etc. / Ronan Hamon, Henrik Junklewitz, Ignacio Sanchez
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Luxembourg
Name of publisher, distributor, etc. : Publications Office of the European Union,
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 34 p. :
Other physical details il.
Dimensions ; 1 documento PDF
336 ## - CONTENT TYPE
Content type term texto (visual)
Source isbdcontent
337 ## - MEDIA TYPE
Media type term electrónico
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term recurso en línea
Source rdacarrier
490 ## - SERIES STATEMENT
Series statement JRC Technical Reports
Volume/sequential designation ; 30040
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliografía: p. 26-31
520 ## - SUMMARY, ETC.
Summary, etc. In the light of the recent advances in artificial intelligence (AI), the serious negative consequences of its use for EU citizens and organisations have led to multiple initiatives from the European Commission to set up the principles of a trustworthy and secure AI. Among the identified requirements, the concepts of robustness and explainability of AI systems have emerged as key elements for a future regulation of this technology. This Technical Report by the European Commission Joint Research Centre (JRC) aims to contribute to this movement for the establishment of a sound regulatory framework for AI, by making the connection between the principles embodied in current regulations regarding to the cybersecurity of digital systems and the protection of data, the policy activities concerning AI, and the technical discussions within the scientific community of AI, in particular in the field of machine learning, that is largely at the origin of the recent advancements of this technology. The individual objectives of this report are to provide a policy-oriented description of the current perspectives of AI and its implications in society, an objective view on the current landscape of AI, focusing of the aspects of robustness and explainability. This also include a technical discussion of the current risks associated with AI in terms of security, safety, and data protection, and a presentation of the scientific solutions that are currently under active development in the AI community to mitigate these risks. This report puts forward several policy-related considerations for the attention of policy makers to establish a set of standardisation and certification tools for AI. First, the development of methodologies to evaluate the impacts of AI on society, built on the model of the Data Protection Impact Assessments (DPIA) introduced in the General Data Protection Regulation (GDPR), is discussed. Secondly, a focus is made on the establishment of methodologies to assess the robustness of systems that would be adapted to the context of use. This would come along with the identification of known vulnerabilities of AI systems, and the technical solutions that have been proposed in the scientific community to address them. Finally, the aspects of transparency and explainability of AI are discussed, including the explainability-by-design approaches for AI models.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction All the authorized content except: Figure 17 on page 80, used under CC0 licence
Jurisdiction European Union
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tecnologías habilitadoras digitales
9 (RLIN) 18
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term artificial intelligence
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term data protection
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term information security
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term regulation of telecommunications
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Junklewitz, Henrik
9 (RLIN) 3916
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sánchez, Ignacio
9 (RLIN) 3917
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Comisión Europea
9 (RLIN) 999
830 ## - SERIES ADDED ENTRY--UNIFORM TITLE
Name of part/section of a work JRC Technical Reports
9 (RLIN) 2965
856 4# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://op.europa.eu/en/publication-detail/-/publication/38750ca4-36a5-11ea-ba6e-01aa75ed71a1/language-en">https://op.europa.eu/en/publication-detail/-/publication/38750ca4-36a5-11ea-ba6e-01aa75ed71a1/language-en</a>
Nonpublic note Abierto
Link text Acceso al documento
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Informes
Existencias
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
        Acceso libre online Colección digital CDO CDO   22/01/2020   1000020175895 22/01/2020 22/01/2020 Informes pdf
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