UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES

Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations....
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Jessica Baumberger [verfasserIn]

Format:	E-Artikel
Sprache:	Polnisch

Erschienen:	2023

Schlagwörter:	artificial intelligence (ai) open-source ai ai ethics ai transparency ai education

Übergeordnetes Werk:	In: Filozofia i Nauka - Polish Academy of Sciences, 2019, 11(2023), Seite 65-79
Übergeordnetes Werk:	volume:11 ; year:2023 ; pages:65-79

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.37240/FiN.2023.11.1.5

Katalog-ID:	DOAJ099994887

Internformat


LEADER	01000naa a22002652 4500
001	DOAJ099994887
003	DE-627
005	20240414063037.0
007	cr uuu---uuuuu
008	240414s2023 xx \|\|\|\|\|o 00\| \|\|pol c
024	7		\|a 10.37240/FiN.2023.11.1.5 \|2 doi
035			\|a (DE-627)DOAJ099994887
035			\|a (DE-599)DOAJf615e6e4d2fd411997686bb23753b002
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a pol
050		0	\|a B1-5802
100	0		\|a Jessica Baumberger \|e verfasserin \|4 aut
245	1	0	\|a UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES
264		1	\|c 2023
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach.
650		4	\|a artificial intelligence (ai)
650		4	\|a open-source ai
650		4	\|a ai ethics
650		4	\|a ai transparency
650		4	\|a ai education
653		0	\|a Philosophy (General)
773	0	8	\|i In \|t Filozofia i Nauka \|d Polish Academy of Sciences, 2019 \|g 11(2023), Seite 65-79 \|w (DE-627)1760611646 \|w (DE-600)3069900-9 \|x 25451936 \|7 nnns
773	1	8	\|g volume:11 \|g year:2023 \|g pages:65-79
856	4	0	\|u https://doi.org/10.37240/FiN.2023.11.1.5 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/f615e6e4d2fd411997686bb23753b002 \|z kostenfrei
856	4	0	\|u https://filozofiainauka.studiafilozoficzne.edu.pl/wp-content/uploads/2023/11/Baumberger_65.pdf \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2300-4711 \|y Journal toc \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2545-1936 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_171
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 11 \|j 2023 \|h 65-79

Indexfelder

author_variant	j b jb
matchkey_str	article:25451936:2023----::nelnasxsetatrasnscear
hierarchy_sort_str	2023
callnumber-subject-code	B
publishDate	2023
allfields	10.37240/FiN.2023.11.1.5 doi (DE-627)DOAJ099994887 (DE-599)DOAJf615e6e4d2fd411997686bb23753b002 DE-627 ger DE-627 rakwb pol B1-5802 Jessica Baumberger verfasserin aut UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach. artificial intelligence (ai) open-source ai ai ethics ai transparency ai education Philosophy (General) In Filozofia i Nauka Polish Academy of Sciences, 2019 11(2023), Seite 65-79 (DE-627)1760611646 (DE-600)3069900-9 25451936 nnns volume:11 year:2023 pages:65-79 https://doi.org/10.37240/FiN.2023.11.1.5 kostenfrei https://doaj.org/article/f615e6e4d2fd411997686bb23753b002 kostenfrei https://filozofiainauka.studiafilozoficzne.edu.pl/wp-content/uploads/2023/11/Baumberger_65.pdf kostenfrei https://doaj.org/toc/2300-4711 Journal toc kostenfrei https://doaj.org/toc/2545-1936 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 65-79
spelling	10.37240/FiN.2023.11.1.5 doi (DE-627)DOAJ099994887 (DE-599)DOAJf615e6e4d2fd411997686bb23753b002 DE-627 ger DE-627 rakwb pol B1-5802 Jessica Baumberger verfasserin aut UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach. artificial intelligence (ai) open-source ai ai ethics ai transparency ai education Philosophy (General) In Filozofia i Nauka Polish Academy of Sciences, 2019 11(2023), Seite 65-79 (DE-627)1760611646 (DE-600)3069900-9 25451936 nnns volume:11 year:2023 pages:65-79 https://doi.org/10.37240/FiN.2023.11.1.5 kostenfrei https://doaj.org/article/f615e6e4d2fd411997686bb23753b002 kostenfrei https://filozofiainauka.studiafilozoficzne.edu.pl/wp-content/uploads/2023/11/Baumberger_65.pdf kostenfrei https://doaj.org/toc/2300-4711 Journal toc kostenfrei https://doaj.org/toc/2545-1936 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 65-79
allfields_unstemmed	10.37240/FiN.2023.11.1.5 doi (DE-627)DOAJ099994887 (DE-599)DOAJf615e6e4d2fd411997686bb23753b002 DE-627 ger DE-627 rakwb pol B1-5802 Jessica Baumberger verfasserin aut UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach. artificial intelligence (ai) open-source ai ai ethics ai transparency ai education Philosophy (General) In Filozofia i Nauka Polish Academy of Sciences, 2019 11(2023), Seite 65-79 (DE-627)1760611646 (DE-600)3069900-9 25451936 nnns volume:11 year:2023 pages:65-79 https://doi.org/10.37240/FiN.2023.11.1.5 kostenfrei https://doaj.org/article/f615e6e4d2fd411997686bb23753b002 kostenfrei https://filozofiainauka.studiafilozoficzne.edu.pl/wp-content/uploads/2023/11/Baumberger_65.pdf kostenfrei https://doaj.org/toc/2300-4711 Journal toc kostenfrei https://doaj.org/toc/2545-1936 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 65-79
allfieldsGer	10.37240/FiN.2023.11.1.5 doi (DE-627)DOAJ099994887 (DE-599)DOAJf615e6e4d2fd411997686bb23753b002 DE-627 ger DE-627 rakwb pol B1-5802 Jessica Baumberger verfasserin aut UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach. artificial intelligence (ai) open-source ai ai ethics ai transparency ai education Philosophy (General) In Filozofia i Nauka Polish Academy of Sciences, 2019 11(2023), Seite 65-79 (DE-627)1760611646 (DE-600)3069900-9 25451936 nnns volume:11 year:2023 pages:65-79 https://doi.org/10.37240/FiN.2023.11.1.5 kostenfrei https://doaj.org/article/f615e6e4d2fd411997686bb23753b002 kostenfrei https://filozofiainauka.studiafilozoficzne.edu.pl/wp-content/uploads/2023/11/Baumberger_65.pdf kostenfrei https://doaj.org/toc/2300-4711 Journal toc kostenfrei https://doaj.org/toc/2545-1936 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 65-79
allfieldsSound	10.37240/FiN.2023.11.1.5 doi (DE-627)DOAJ099994887 (DE-599)DOAJf615e6e4d2fd411997686bb23753b002 DE-627 ger DE-627 rakwb pol B1-5802 Jessica Baumberger verfasserin aut UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach. artificial intelligence (ai) open-source ai ai ethics ai transparency ai education Philosophy (General) In Filozofia i Nauka Polish Academy of Sciences, 2019 11(2023), Seite 65-79 (DE-627)1760611646 (DE-600)3069900-9 25451936 nnns volume:11 year:2023 pages:65-79 https://doi.org/10.37240/FiN.2023.11.1.5 kostenfrei https://doaj.org/article/f615e6e4d2fd411997686bb23753b002 kostenfrei https://filozofiainauka.studiafilozoficzne.edu.pl/wp-content/uploads/2023/11/Baumberger_65.pdf kostenfrei https://doaj.org/toc/2300-4711 Journal toc kostenfrei https://doaj.org/toc/2545-1936 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 65-79
language	Polish
source	In Filozofia i Nauka 11(2023), Seite 65-79 volume:11 year:2023 pages:65-79
sourceStr	In Filozofia i Nauka 11(2023), Seite 65-79 volume:11 year:2023 pages:65-79
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	artificial intelligence (ai) open-source ai ai ethics ai transparency ai education Philosophy (General)
isfreeaccess_bool	true
container_title	Filozofia i Nauka
authorswithroles_txt_mv	Jessica Baumberger @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	1760611646
id	DOAJ099994887
language_de	polnisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ099994887</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414063037.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240414s2023 xx \|\|\|\|\|o 00\| \|\|pol c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.37240/FiN.2023.11.1.5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ099994887</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJf615e6e4d2fd411997686bb23753b002</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">pol</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">B1-5802</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Jessica Baumberger</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence (ai)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">open-source ai</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ai ethics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ai transparency</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ai education</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Philosophy (General)</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Filozofia i Nauka</subfield><subfield code="d">Polish Academy of Sciences, 2019</subfield><subfield code="g">11(2023), Seite 65-79</subfield><subfield code="w">(DE-627)1760611646</subfield><subfield code="w">(DE-600)3069900-9</subfield><subfield code="x">25451936</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:11</subfield><subfield code="g">year:2023</subfield><subfield code="g">pages:65-79</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.37240/FiN.2023.11.1.5</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/f615e6e4d2fd411997686bb23753b002</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://filozofiainauka.studiafilozoficzne.edu.pl/wp-content/uploads/2023/11/Baumberger_65.pdf</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2300-4711</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2545-1936</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">11</subfield><subfield code="j">2023</subfield><subfield code="h">65-79</subfield></datafield></record></collection>
callnumber-first	B - Philosophy, Psychology, Religion
author	Jessica Baumberger
spellingShingle	Jessica Baumberger misc B1-5802 misc artificial intelligence (ai) misc open-source ai misc ai ethics misc ai transparency misc ai education misc Philosophy (General) UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES
authorStr	Jessica Baumberger
ppnlink_with_tag_str_mv	@@773@@(DE-627)1760611646
format	electronic Article
delete_txt_mv	keep
author_role	aut
collection	DOAJ
remote_str	true
callnumber-label	B1-5802
illustrated	Not Illustrated
issn	25451936
topic_title	B1-5802 UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES artificial intelligence (ai) open-source ai ai ethics ai transparency ai education
topic	misc B1-5802 misc artificial intelligence (ai) misc open-source ai misc ai ethics misc ai transparency misc ai education misc Philosophy (General)
topic_unstemmed	misc B1-5802 misc artificial intelligence (ai) misc open-source ai misc ai ethics misc ai transparency misc ai education misc Philosophy (General)
topic_browse	misc B1-5802 misc artificial intelligence (ai) misc open-source ai misc ai ethics misc ai transparency misc ai education misc Philosophy (General)
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Filozofia i Nauka
hierarchy_parent_id	1760611646
hierarchy_top_title	Filozofia i Nauka
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)1760611646 (DE-600)3069900-9
title	UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES
ctrlnum	(DE-627)DOAJ099994887 (DE-599)DOAJf615e6e4d2fd411997686bb23753b002
title_full	UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES
author_sort	Jessica Baumberger
journal	Filozofia i Nauka
journalStr	Filozofia i Nauka
callnumber-first-code	B
lang_code	pol
isOA_bool	true
recordtype	marc
publishDateSort	2023
contenttype_str_mv	txt
container_start_page	65
author_browse	Jessica Baumberger
container_volume	11
class	B1-5802
format_se	Elektronische Aufsätze
author-letter	Jessica Baumberger
doi_str_mv	10.37240/FiN.2023.11.1.5
title_sort	unveiling ai’s existential threats and societal responsibilities
callnumber	B1-5802
title_auth	UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES
abstract	Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach.
abstractGer	Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach.
abstract_unstemmed	Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
title_short	UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES
url	https://doi.org/10.37240/FiN.2023.11.1.5 https://doaj.org/article/f615e6e4d2fd411997686bb23753b002 https://filozofiainauka.studiafilozoficzne.edu.pl/wp-content/uploads/2023/11/Baumberger_65.pdf https://doaj.org/toc/2300-4711 https://doaj.org/toc/2545-1936
remote_bool	true
ppnlink	1760611646
callnumber-subject	B - Philosophy
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.37240/FiN.2023.11.1.5
callnumber-a	B1-5802
up_date	2024-07-04T01:12:07.236Z
_version_	1803608944530161664
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ099994887</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414063037.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240414s2023 xx \|\|\|\|\|o 00\| \|\|pol c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.37240/FiN.2023.11.1.5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ099994887</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJf615e6e4d2fd411997686bb23753b002</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">pol</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">B1-5802</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Jessica Baumberger</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence (ai)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">open-source ai</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ai ethics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ai transparency</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ai education</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Philosophy (General)</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Filozofia i Nauka</subfield><subfield code="d">Polish Academy of Sciences, 2019</subfield><subfield code="g">11(2023), Seite 65-79</subfield><subfield code="w">(DE-627)1760611646</subfield><subfield code="w">(DE-600)3069900-9</subfield><subfield code="x">25451936</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:11</subfield><subfield code="g">year:2023</subfield><subfield code="g">pages:65-79</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.37240/FiN.2023.11.1.5</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/f615e6e4d2fd411997686bb23753b002</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://filozofiainauka.studiafilozoficzne.edu.pl/wp-content/uploads/2023/11/Baumberger_65.pdf</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2300-4711</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2545-1936</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">11</subfield><subfield code="j">2023</subfield><subfield code="h">65-79</subfield></datafield></record></collection>
score	7.3993607

Nicht das Richtige dabei?

Schreiben Sie uns!

UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?