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 |