Torrent details for "Shin D. Debiasing AI. Rethinking the Intersection of Innovation.…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
4.0 MB
Info Hash:
91C34E7AD0CB5A043553DB898F836F2B5AC195D6
Added By:
Added:
April 20, 2026, 11:37 a.m.
Stats:
|
(Last updated: April 20, 2026, 11:37 a.m.)
| File | Size |
|---|---|
| ['Shin D. Debiasing AI. Rethinking the Intersection of Innovation...Sustain. 2025.pdf'] | 0 bytes |
Name
DL
Uploader
Size
S/L
Added
-
65.7 MB
[20
/
3]
2023-12-15
| Uploaded by indexFroggy | Size 65.7 MB | Health [ 20 /3 ] | Added 2023-12-15 |
-
31.6 MB
[75
/
12]
2025-05-24
| Uploaded by andryold1 | Size 31.6 MB | Health [ 75 /12 ] | Added 2025-05-24 |
-
47.8 MB
[38
/
35]
2026-04-20
| Uploaded by andryold1 | Size 47.8 MB | Health [ 38 /35 ] | Added 2026-04-20 |
NOTE
SOURCE: Shin D. Debiasing AI. Rethinking the Intersection of Innovation...Sustain. 2025
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format In an era where Artificial Intelligence (AI) drives unprecedented change, Debiasing AI examines the vital intersection of technology, innovation, and sustainability. This book confronts the pressing challenge of bias in AI systems, exploring its far-reaching implications for fairness, trust, and ethical practices. Through a multidisciplinary lens, the author examines how human biases are embedded in large language models, amplified by coded Machine Learning, and propagated through trained algorithms. Practical strategies are offered to address these issues, paving the way for the development of more equitable and inclusive AI technologies. With actionable insights, empirical case studies, and theoretical frameworks, Debiasing AI offers a roadmap for designing AI technologies that are not only innovative but also ethically sound and equitable. A must-read for scholars, industry leaders, and policymakers, this book inspires a reimagining of AI’s role in creating a fairer and more sustainable future
×