
| Judul | Standardization of AI Ethics : Stakeholders, Values and Profit / Nicholas Kluge Corrêa (editor); Julia Maria Mönig (editor) |
| Pengarang | Kluge Corrêa, Nicholas (editor) Mönig, Julia Maria (editor) |
| Penerbitan | Jerman : transcript Verlag, 2026 |
| Deskripsi Fisik | 162 p. |
| ISBN | 9783839478431 |
| Subjek | ARTIFICIAL INTELLIGENCE STANDARDIZATION |
| Catatan | The relationship between AI, ethics, societal values and standardization is complex. The contributors to this volume discuss the challenges and opportunities involved in standardizing AI ethics, including algorithmic audits, stakeholder participation and certification mechanisms. They offer a comprehensive and interdisciplinary approach to AI ethics governance, covering topics such as auditing auditors, deceptive robots, HR perspectives on AI in job hiring, and how existing citizen infrastructures can inform standardization processes for ethical AI applications. |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://directory.doabooks.org/handle/20.500.12854/175685 |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 208226192 | 006.3 Sta | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
| Tag | Ind1 | Ind2 | Isi |
| 001 | INLIS000000000168327 | ||
| 005 | 20260428030535 | ||
| 007 | ta | ||
| 008 | 260428################|##########|#|## | ||
| 020 | # | # | $a 9783839478431 |
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| 082 | # | # | $a 006.3 |
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| 100 | 1 | # | $a Kluge Corrêa, Nicholas (editor) |
| 245 | 1 | # | $a Standardization of AI Ethics : $b Stakeholders, Values and Profit /$c Nicholas Kluge Corrêa (editor); Julia Maria Mönig (editor) |
| 260 | # | # | $a Jerman :$b transcript Verlag,$c 2026 |
| 300 | # | # | $a 162 p. |
| 505 | # | # | $a The relationship between AI, ethics, societal values and standardization is complex. The contributors to this volume discuss the challenges and opportunities involved in standardizing AI ethics, including algorithmic audits, stakeholder participation and certification mechanisms. They offer a comprehensive and interdisciplinary approach to AI ethics governance, covering topics such as auditing auditors, deceptive robots, HR perspectives on AI in job hiring, and how existing citizen infrastructures can inform standardization processes for ethical AI applications. |
| 650 | # | # | $a ARTIFICIAL INTELLIGENCE |
| 650 | # | # | $a STANDARDIZATION |
| 700 | 1 | # | $a Mönig, Julia Maria (editor) |
| 856 | # | # | $a https://directory.doabooks.org/handle/20.500.12854/175685 |
| 990 | # | # | $a 208226192 |
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