Generative AI and implications for ethics, security, and data management:
As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated conten...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
|
| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-1050 Volltext |
| Zusammenfassung: | As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people's data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians. |
| Beschreibung: | 1 Online-Ressource (xix, 456 Seiten) |
| DOI: | 10.4018/979-8-3693-8557-9 |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV049869647 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 240917s2024 xx o|||| 00||| eng d | ||
| 020 | |z 9798369385593 |9 9798369385593 | ||
| 024 | 7 | |a 10.4018/979-8-3693-8557-9 |2 doi | |
| 035 | |a (ZDB-98-IGB)00351238 | ||
| 035 | |a (OCoLC)1466900682 | ||
| 035 | |a (DE-599)BVBBV049869647 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91 |a DE-1050 | ||
| 082 | 0 | |a 005.8 | |
| 084 | |a WIR 523 |2 stub | ||
| 084 | |a DAT 000 |2 stub | ||
| 245 | 1 | 0 | |a Generative AI and implications for ethics, security, and data management |c Jeganathan Gomathi Sankar, Arokiaraj David, editors |
| 246 | 1 | 3 | |a Generative artificial intelligence and implications for ethics, security, and data management |
| 264 | 1 | |a Hershey, Pennsylvania |b IGI Global |c 2024 | |
| 300 | |a 1 Online-Ressource (xix, 456 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Advances in computational intelligence and robotics (ACIR) book series | |
| 520 | |a As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people's data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians. | ||
| 650 | 4 | |a Artificial intelligence |x Industrial applications | |
| 650 | 4 | |a Artificial intelligence |x Moral and ethical aspects | |
| 650 | 4 | |a Big data |x Security measures | |
| 650 | 4 | |a Business ethics | |
| 650 | 4 | |a Computer security |x Technological innovations | |
| 650 | 4 | |a Data privacy | |
| 650 | 4 | |a Data protection | |
| 650 | 4 | |a Database security |x Technological innovations | |
| 700 | 1 | |a David, Arokiaraj |4 edt | |
| 700 | 1 | |a Sankar, Jeganathan Gomathi |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9798369385579 |
| 856 | 4 | 0 | |u https://doi.org/10.4018/979-8-3693-8557-9 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035209147 | |
| 966 | e | |u https://doi.org/10.4018/979-8-3693-8557-9 |l DE-91 |p ZDB-98-IGB |q TUM_Paketkauf_2024 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4018/979-8-3693-8557-9 |l DE-1050 |p ZDB-98-IGB |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1818715323947286528 |
|---|---|
| adam_text | |
| any_adam_object | |
| author2 | David, Arokiaraj Sankar, Jeganathan Gomathi |
| author2_role | edt edt |
| author2_variant | a d ad j g s jg jgs |
| author_facet | David, Arokiaraj Sankar, Jeganathan Gomathi |
| building | Verbundindex |
| bvnumber | BV049869647 |
| classification_tum | WIR 523 DAT 000 |
| collection | ZDB-98-IGB |
| ctrlnum | (ZDB-98-IGB)00351238 (OCoLC)1466900682 (DE-599)BVBBV049869647 |
| dewey-full | 005.8 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.8 |
| dewey-search | 005.8 |
| dewey-sort | 15.8 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften |
| doi_str_mv | 10.4018/979-8-3693-8557-9 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV049869647</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">240917s2024 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9798369385593</subfield><subfield code="9">9798369385593</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/979-8-3693-8557-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-98-IGB)00351238</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1466900682</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049869647</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield><subfield code="a">DE-1050</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.8</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WIR 523</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Generative AI and implications for ethics, security, and data management</subfield><subfield code="c">Jeganathan Gomathi Sankar, Arokiaraj David, editors</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Generative artificial intelligence and implications for ethics, security, and data management</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey, Pennsylvania</subfield><subfield code="b">IGI Global</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xix, 456 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Advances in computational intelligence and robotics (ACIR) book series</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people's data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield><subfield code="x">Industrial applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield><subfield code="x">Moral and ethical aspects</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</subfield><subfield code="x">Security measures</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Business ethics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer security</subfield><subfield code="x">Technological innovations</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data privacy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data protection</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Database security</subfield><subfield code="x">Technological innovations</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">David, Arokiaraj</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sankar, Jeganathan Gomathi</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9798369385579</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.4018/979-8-3693-8557-9</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035209147</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/979-8-3693-8557-9</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">TUM_Paketkauf_2024</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/979-8-3693-8557-9</subfield><subfield code="l">DE-1050</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049869647 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-17T19:01:33Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035209147 |
| oclc_num | 1466900682 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-1050 |
| owner_facet | DE-91 DE-BY-TUM DE-1050 |
| physical | 1 Online-Ressource (xix, 456 Seiten) |
| psigel | ZDB-98-IGB ZDB-98-IGB TUM_Paketkauf_2024 |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global |
| record_format | marc |
| series2 | Advances in computational intelligence and robotics (ACIR) book series |
| spelling | Generative AI and implications for ethics, security, and data management Jeganathan Gomathi Sankar, Arokiaraj David, editors Generative artificial intelligence and implications for ethics, security, and data management Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (xix, 456 Seiten) txt rdacontent c rdamedia cr rdacarrier Advances in computational intelligence and robotics (ACIR) book series As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people's data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians. Artificial intelligence Industrial applications Artificial intelligence Moral and ethical aspects Big data Security measures Business ethics Computer security Technological innovations Data privacy Data protection Database security Technological innovations David, Arokiaraj edt Sankar, Jeganathan Gomathi edt Erscheint auch als Druck-Ausgabe 9798369385579 https://doi.org/10.4018/979-8-3693-8557-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Generative AI and implications for ethics, security, and data management Artificial intelligence Industrial applications Artificial intelligence Moral and ethical aspects Big data Security measures Business ethics Computer security Technological innovations Data privacy Data protection Database security Technological innovations |
| title | Generative AI and implications for ethics, security, and data management |
| title_alt | Generative artificial intelligence and implications for ethics, security, and data management |
| title_auth | Generative AI and implications for ethics, security, and data management |
| title_exact_search | Generative AI and implications for ethics, security, and data management |
| title_full | Generative AI and implications for ethics, security, and data management Jeganathan Gomathi Sankar, Arokiaraj David, editors |
| title_fullStr | Generative AI and implications for ethics, security, and data management Jeganathan Gomathi Sankar, Arokiaraj David, editors |
| title_full_unstemmed | Generative AI and implications for ethics, security, and data management Jeganathan Gomathi Sankar, Arokiaraj David, editors |
| title_short | Generative AI and implications for ethics, security, and data management |
| title_sort | generative ai and implications for ethics security and data management |
| topic | Artificial intelligence Industrial applications Artificial intelligence Moral and ethical aspects Big data Security measures Business ethics Computer security Technological innovations Data privacy Data protection Database security Technological innovations |
| topic_facet | Artificial intelligence Industrial applications Artificial intelligence Moral and ethical aspects Big data Security measures Business ethics Computer security Technological innovations Data privacy Data protection Database security Technological innovations |
| url | https://doi.org/10.4018/979-8-3693-8557-9 |
| work_keys_str_mv | AT davidarokiaraj generativeaiandimplicationsforethicssecurityanddatamanagement AT sankarjeganathangomathi generativeaiandimplicationsforethicssecurityanddatamanagement AT davidarokiaraj generativeartificialintelligenceandimplicationsforethicssecurityanddatamanagement AT sankarjeganathangomathi generativeartificialintelligenceandimplicationsforethicssecurityanddatamanagement |