Accompanying technology development in the Human Brain Project: From foresight to ethics management
• The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Manageme...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Aicardi, Christine [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2018 |
|---|
| Schlagwörter: |
|---|
| Umfang: |
11 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Latent subspace modeling of sequential data under the maximum entropy discrimination framework - Chatzis, Sotirios P. ELSEVIER, 2018, the journal of policy, planning and futures studies, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:102 ; year:2018 ; pages:114-124 ; extent:11 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.futures.2018.01.005 |
|---|
| Katalog-ID: |
ELV043770738 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV043770738 | ||
| 003 | DE-627 | ||
| 005 | 20230624105017.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 181113s2018 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.futures.2018.01.005 |2 doi | |
| 028 | 5 | 2 | |a GBV00000000000331.pica |
| 035 | |a (DE-627)ELV043770738 | ||
| 035 | |a (ELSEVIER)S0016-3287(17)30106-4 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 610 |q VZ |
| 084 | |a 54.72 |2 bkl | ||
| 100 | 1 | |a Aicardi, Christine |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Accompanying technology development in the Human Brain Project: From foresight to ethics management |
| 264 | 1 | |c 2018 | |
| 300 | |a 11 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a • The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Management work in the HBP Ethics and Society subproject. • It illustrates key aspects of the dynamic approach to questions of ethics and society in the HBP. • Its self-reflexive, practice-based evidence aims at guiding policy makers and communities who engage with such questions. | ||
| 650 | 7 | |a Responsible research and innovation |2 Elsevier | |
| 650 | 7 | |a Ethics management |2 Elsevier | |
| 650 | 7 | |a Human Brain Project |2 Elsevier | |
| 650 | 7 | |a Artificial intelligence |2 Elsevier | |
| 650 | 7 | |a Foresight |2 Elsevier | |
| 700 | 1 | |a Fothergill, B. Tyr |4 oth | |
| 700 | 1 | |a Rainey, Stephen |4 oth | |
| 700 | 1 | |a Stahl, Bernd Carsten |4 oth | |
| 700 | 1 | |a Harris, Emma |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Chatzis, Sotirios P. ELSEVIER |t Latent subspace modeling of sequential data under the maximum entropy discrimination framework |d 2018 |d the journal of policy, planning and futures studies |g Amsterdam [u.a.] |w (DE-627)ELV000310468 |
| 773 | 1 | 8 | |g volume:102 |g year:2018 |g pages:114-124 |g extent:11 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.futures.2018.01.005 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a SSG-OLC-PHA | ||
| 936 | b | k | |a 54.72 |j Künstliche Intelligenz |q VZ |
| 951 | |a AR | ||
| 952 | |d 102 |j 2018 |h 114-124 |g 11 | ||
| author_variant |
c a ca |
|---|---|
| matchkey_str |
aicardichristinefothergillbtyrraineystep:2018----:copnigehooyeeomniteuabanrjcfofr |
| hierarchy_sort_str |
2018 |
| bklnumber |
54.72 |
| publishDate |
2018 |
| allfields |
10.1016/j.futures.2018.01.005 doi GBV00000000000331.pica (DE-627)ELV043770738 (ELSEVIER)S0016-3287(17)30106-4 DE-627 ger DE-627 rakwb eng 610 VZ 54.72 bkl Aicardi, Christine verfasserin aut Accompanying technology development in the Human Brain Project: From foresight to ethics management 2018 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Management work in the HBP Ethics and Society subproject. • It illustrates key aspects of the dynamic approach to questions of ethics and society in the HBP. • Its self-reflexive, practice-based evidence aims at guiding policy makers and communities who engage with such questions. Responsible research and innovation Elsevier Ethics management Elsevier Human Brain Project Elsevier Artificial intelligence Elsevier Foresight Elsevier Fothergill, B. Tyr oth Rainey, Stephen oth Stahl, Bernd Carsten oth Harris, Emma oth Enthalten in Elsevier Science Chatzis, Sotirios P. ELSEVIER Latent subspace modeling of sequential data under the maximum entropy discrimination framework 2018 the journal of policy, planning and futures studies Amsterdam [u.a.] (DE-627)ELV000310468 volume:102 year:2018 pages:114-124 extent:11 https://doi.org/10.1016/j.futures.2018.01.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 54.72 Künstliche Intelligenz VZ AR 102 2018 114-124 11 |
| spelling |
10.1016/j.futures.2018.01.005 doi GBV00000000000331.pica (DE-627)ELV043770738 (ELSEVIER)S0016-3287(17)30106-4 DE-627 ger DE-627 rakwb eng 610 VZ 54.72 bkl Aicardi, Christine verfasserin aut Accompanying technology development in the Human Brain Project: From foresight to ethics management 2018 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Management work in the HBP Ethics and Society subproject. • It illustrates key aspects of the dynamic approach to questions of ethics and society in the HBP. • Its self-reflexive, practice-based evidence aims at guiding policy makers and communities who engage with such questions. Responsible research and innovation Elsevier Ethics management Elsevier Human Brain Project Elsevier Artificial intelligence Elsevier Foresight Elsevier Fothergill, B. Tyr oth Rainey, Stephen oth Stahl, Bernd Carsten oth Harris, Emma oth Enthalten in Elsevier Science Chatzis, Sotirios P. ELSEVIER Latent subspace modeling of sequential data under the maximum entropy discrimination framework 2018 the journal of policy, planning and futures studies Amsterdam [u.a.] (DE-627)ELV000310468 volume:102 year:2018 pages:114-124 extent:11 https://doi.org/10.1016/j.futures.2018.01.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 54.72 Künstliche Intelligenz VZ AR 102 2018 114-124 11 |
| allfields_unstemmed |
10.1016/j.futures.2018.01.005 doi GBV00000000000331.pica (DE-627)ELV043770738 (ELSEVIER)S0016-3287(17)30106-4 DE-627 ger DE-627 rakwb eng 610 VZ 54.72 bkl Aicardi, Christine verfasserin aut Accompanying technology development in the Human Brain Project: From foresight to ethics management 2018 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Management work in the HBP Ethics and Society subproject. • It illustrates key aspects of the dynamic approach to questions of ethics and society in the HBP. • Its self-reflexive, practice-based evidence aims at guiding policy makers and communities who engage with such questions. Responsible research and innovation Elsevier Ethics management Elsevier Human Brain Project Elsevier Artificial intelligence Elsevier Foresight Elsevier Fothergill, B. Tyr oth Rainey, Stephen oth Stahl, Bernd Carsten oth Harris, Emma oth Enthalten in Elsevier Science Chatzis, Sotirios P. ELSEVIER Latent subspace modeling of sequential data under the maximum entropy discrimination framework 2018 the journal of policy, planning and futures studies Amsterdam [u.a.] (DE-627)ELV000310468 volume:102 year:2018 pages:114-124 extent:11 https://doi.org/10.1016/j.futures.2018.01.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 54.72 Künstliche Intelligenz VZ AR 102 2018 114-124 11 |
| allfieldsGer |
10.1016/j.futures.2018.01.005 doi GBV00000000000331.pica (DE-627)ELV043770738 (ELSEVIER)S0016-3287(17)30106-4 DE-627 ger DE-627 rakwb eng 610 VZ 54.72 bkl Aicardi, Christine verfasserin aut Accompanying technology development in the Human Brain Project: From foresight to ethics management 2018 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Management work in the HBP Ethics and Society subproject. • It illustrates key aspects of the dynamic approach to questions of ethics and society in the HBP. • Its self-reflexive, practice-based evidence aims at guiding policy makers and communities who engage with such questions. Responsible research and innovation Elsevier Ethics management Elsevier Human Brain Project Elsevier Artificial intelligence Elsevier Foresight Elsevier Fothergill, B. Tyr oth Rainey, Stephen oth Stahl, Bernd Carsten oth Harris, Emma oth Enthalten in Elsevier Science Chatzis, Sotirios P. ELSEVIER Latent subspace modeling of sequential data under the maximum entropy discrimination framework 2018 the journal of policy, planning and futures studies Amsterdam [u.a.] (DE-627)ELV000310468 volume:102 year:2018 pages:114-124 extent:11 https://doi.org/10.1016/j.futures.2018.01.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 54.72 Künstliche Intelligenz VZ AR 102 2018 114-124 11 |
| allfieldsSound |
10.1016/j.futures.2018.01.005 doi GBV00000000000331.pica (DE-627)ELV043770738 (ELSEVIER)S0016-3287(17)30106-4 DE-627 ger DE-627 rakwb eng 610 VZ 54.72 bkl Aicardi, Christine verfasserin aut Accompanying technology development in the Human Brain Project: From foresight to ethics management 2018 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Management work in the HBP Ethics and Society subproject. • It illustrates key aspects of the dynamic approach to questions of ethics and society in the HBP. • Its self-reflexive, practice-based evidence aims at guiding policy makers and communities who engage with such questions. Responsible research and innovation Elsevier Ethics management Elsevier Human Brain Project Elsevier Artificial intelligence Elsevier Foresight Elsevier Fothergill, B. Tyr oth Rainey, Stephen oth Stahl, Bernd Carsten oth Harris, Emma oth Enthalten in Elsevier Science Chatzis, Sotirios P. ELSEVIER Latent subspace modeling of sequential data under the maximum entropy discrimination framework 2018 the journal of policy, planning and futures studies Amsterdam [u.a.] (DE-627)ELV000310468 volume:102 year:2018 pages:114-124 extent:11 https://doi.org/10.1016/j.futures.2018.01.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 54.72 Künstliche Intelligenz VZ AR 102 2018 114-124 11 |
| language |
English |
| source |
Enthalten in Latent subspace modeling of sequential data under the maximum entropy discrimination framework Amsterdam [u.a.] volume:102 year:2018 pages:114-124 extent:11 |
| sourceStr |
Enthalten in Latent subspace modeling of sequential data under the maximum entropy discrimination framework Amsterdam [u.a.] volume:102 year:2018 pages:114-124 extent:11 |
| format_phy_str_mv |
Article |
| bklname |
Künstliche Intelligenz |
| institution |
findex.gbv.de |
| topic_facet |
Responsible research and innovation Ethics management Human Brain Project Artificial intelligence Foresight |
| dewey-raw |
610 |
| isfreeaccess_bool |
false |
| container_title |
Latent subspace modeling of sequential data under the maximum entropy discrimination framework |
| authorswithroles_txt_mv |
Aicardi, Christine @@aut@@ Fothergill, B. Tyr @@oth@@ Rainey, Stephen @@oth@@ Stahl, Bernd Carsten @@oth@@ Harris, Emma @@oth@@ |
| publishDateDaySort_date |
2018-01-01T00:00:00Z |
| hierarchy_top_id |
ELV000310468 |
| dewey-sort |
3610 |
| id |
ELV043770738 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV043770738</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624105017.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">181113s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.futures.2018.01.005</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000331.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV043770738</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0016-3287(17)30106-4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.72</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Aicardi, Christine</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Accompanying technology development in the Human Brain Project: From foresight to ethics management</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">11</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Management work in the HBP Ethics and Society subproject. • It illustrates key aspects of the dynamic approach to questions of ethics and society in the HBP. • Its self-reflexive, practice-based evidence aims at guiding policy makers and communities who engage with such questions.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Responsible research and innovation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Ethics management</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Human Brain Project</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Artificial intelligence</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Foresight</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fothergill, B. Tyr</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rainey, Stephen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Stahl, Bernd Carsten</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Harris, Emma</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Chatzis, Sotirios P. ELSEVIER</subfield><subfield code="t">Latent subspace modeling of sequential data under the maximum entropy discrimination framework</subfield><subfield code="d">2018</subfield><subfield code="d">the journal of policy, planning and futures studies</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000310468</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:102</subfield><subfield code="g">year:2018</subfield><subfield code="g">pages:114-124</subfield><subfield code="g">extent:11</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.futures.2018.01.005</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.72</subfield><subfield code="j">Künstliche Intelligenz</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">102</subfield><subfield code="j">2018</subfield><subfield code="h">114-124</subfield><subfield code="g">11</subfield></datafield></record></collection>
|
| author |
Aicardi, Christine |
| spellingShingle |
Aicardi, Christine ddc 610 bkl 54.72 Elsevier Responsible research and innovation Elsevier Ethics management Elsevier Human Brain Project Elsevier Artificial intelligence Elsevier Foresight Accompanying technology development in the Human Brain Project: From foresight to ethics management |
| authorStr |
Aicardi, Christine |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV000310468 |
| format |
electronic Article |
| dewey-ones |
610 - Medicine & health |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
610 VZ 54.72 bkl Accompanying technology development in the Human Brain Project: From foresight to ethics management Responsible research and innovation Elsevier Ethics management Elsevier Human Brain Project Elsevier Artificial intelligence Elsevier Foresight Elsevier |
| topic |
ddc 610 bkl 54.72 Elsevier Responsible research and innovation Elsevier Ethics management Elsevier Human Brain Project Elsevier Artificial intelligence Elsevier Foresight |
| topic_unstemmed |
ddc 610 bkl 54.72 Elsevier Responsible research and innovation Elsevier Ethics management Elsevier Human Brain Project Elsevier Artificial intelligence Elsevier Foresight |
| topic_browse |
ddc 610 bkl 54.72 Elsevier Responsible research and innovation Elsevier Ethics management Elsevier Human Brain Project Elsevier Artificial intelligence Elsevier Foresight |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
b t f bt btf s r sr b c s bc bcs e h eh |
| hierarchy_parent_title |
Latent subspace modeling of sequential data under the maximum entropy discrimination framework |
| hierarchy_parent_id |
ELV000310468 |
| dewey-tens |
610 - Medicine & health |
| hierarchy_top_title |
Latent subspace modeling of sequential data under the maximum entropy discrimination framework |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV000310468 |
| title |
Accompanying technology development in the Human Brain Project: From foresight to ethics management |
| ctrlnum |
(DE-627)ELV043770738 (ELSEVIER)S0016-3287(17)30106-4 |
| title_full |
Accompanying technology development in the Human Brain Project: From foresight to ethics management |
| author_sort |
Aicardi, Christine |
| journal |
Latent subspace modeling of sequential data under the maximum entropy discrimination framework |
| journalStr |
Latent subspace modeling of sequential data under the maximum entropy discrimination framework |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2018 |
| contenttype_str_mv |
zzz |
| container_start_page |
114 |
| author_browse |
Aicardi, Christine |
| container_volume |
102 |
| physical |
11 |
| class |
610 VZ 54.72 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Aicardi, Christine |
| doi_str_mv |
10.1016/j.futures.2018.01.005 |
| dewey-full |
610 |
| title_sort |
accompanying technology development in the human brain project: from foresight to ethics management |
| title_auth |
Accompanying technology development in the Human Brain Project: From foresight to ethics management |
| abstract |
• The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Management work in the HBP Ethics and Society subproject. • It illustrates key aspects of the dynamic approach to questions of ethics and society in the HBP. • Its self-reflexive, practice-based evidence aims at guiding policy makers and communities who engage with such questions. |
| abstractGer |
• The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Management work in the HBP Ethics and Society subproject. • It illustrates key aspects of the dynamic approach to questions of ethics and society in the HBP. • Its self-reflexive, practice-based evidence aims at guiding policy makers and communities who engage with such questions. |
| abstract_unstemmed |
• The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Management work in the HBP Ethics and Society subproject. • It illustrates key aspects of the dynamic approach to questions of ethics and society in the HBP. • Its self-reflexive, practice-based evidence aims at guiding policy makers and communities who engage with such questions. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA |
| title_short |
Accompanying technology development in the Human Brain Project: From foresight to ethics management |
| url |
https://doi.org/10.1016/j.futures.2018.01.005 |
| remote_bool |
true |
| author2 |
Fothergill, B. Tyr Rainey, Stephen Stahl, Bernd Carsten Harris, Emma |
| author2Str |
Fothergill, B. Tyr Rainey, Stephen Stahl, Bernd Carsten Harris, Emma |
| ppnlink |
ELV000310468 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth |
| doi_str |
10.1016/j.futures.2018.01.005 |
| up_date |
2024-07-06T19:42:41.592Z |
| _version_ |
1803860009647341568 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV043770738</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624105017.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">181113s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.futures.2018.01.005</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000331.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV043770738</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0016-3287(17)30106-4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.72</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Aicardi, Christine</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Accompanying technology development in the Human Brain Project: From foresight to ethics management</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">11</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• The paper addresses the management of catastrophic and existential risks potential of general and specialized AI. • It does so through the perspective of an EC Future and Emerging Technology Flagship, the Human Brain Project (HBP). • It builds on Foresight, Researcher Awareness and Ethics Management work in the HBP Ethics and Society subproject. • It illustrates key aspects of the dynamic approach to questions of ethics and society in the HBP. • Its self-reflexive, practice-based evidence aims at guiding policy makers and communities who engage with such questions.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Responsible research and innovation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Ethics management</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Human Brain Project</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Artificial intelligence</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Foresight</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fothergill, B. Tyr</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rainey, Stephen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Stahl, Bernd Carsten</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Harris, Emma</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Chatzis, Sotirios P. ELSEVIER</subfield><subfield code="t">Latent subspace modeling of sequential data under the maximum entropy discrimination framework</subfield><subfield code="d">2018</subfield><subfield code="d">the journal of policy, planning and futures studies</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000310468</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:102</subfield><subfield code="g">year:2018</subfield><subfield code="g">pages:114-124</subfield><subfield code="g">extent:11</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.futures.2018.01.005</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.72</subfield><subfield code="j">Künstliche Intelligenz</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">102</subfield><subfield code="j">2018</subfield><subfield code="h">114-124</subfield><subfield code="g">11</subfield></datafield></record></collection>
|
| score |
7.400694 |