Torrent details for "Jain D. A Compendium of Responsible Artificial Intelligence 2025" 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:
13.5 MB
Info Hash:
71C70E4EA74D66CAD29471A57273D1DA4E76AFC6
Added By:
Added:
July 17, 2025, 12:03 p.m.
Stats:
|
(Last updated: July 17, 2025, 12:03 p.m.)
| File | Size |
|---|---|
| ['Jain D. A Compendium of Responsible Artificial Intelligence 2025.pdf'] | 0 bytes |
Name
DL
Uploader
Size
S/L
Added
-
13.5 MB
[33
/
33]
2025-07-17
| Uploaded by andryold1 | Size 13.5 MB | Health [ 33 /33 ] | Added 2025-07-17 |
NOTE
SOURCE: Jain D. A Compendium of Responsible Artificial Intelligence 2025
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format Taking a broad, multidisciplinary approach to the ethical, legal, and practical dimensions of developing AI, the book puts key issues such as bias, transparency, accountability, and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values. This book can be read as a resource for those who want to be able to guide the development and deployment of responsibly controlled AI systems. The book puts key issues such as bias, transparency, accountability and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values. What is Responsible AI? AI systems designed, developed, and used with ethical and responsible principles are referred to as Responsible AI. These systems aim to enhance positive outcomes and minimize potential adverse effects resulting from AI advancements. Building AI systems with an ethical focus is crucial. This means incorporating fundamental values such as fairness, responsibility, transparency, and confidentiality at every stage of the AI process, from conception and creation to implementation and oversight. Responsible AI takes into account the wider effects of AI on individuals in practical situations within society. It guarantees that AI algorithms are impartial and their conclusions comprehensible. Additionally, it tackles negative consequences and moral concerns. Incorporating stakeholder inclusivity is essential for Responsible AI, as it fosters fairness and inclusivity throughout the AI development process. The development and application of AI is guided by an ethical framework called Responsible AI ensuring that technological advancements align with human values and serve societal needs. While AI has the potential for both positive and negative uses, this approach aims to prevent harm and misuse, promoting the use of AI for positive impact. Introduction A Primer on Responsible AI Avatar Guard: Customizable, Secure, and Private Virtual Identities for Video Conferencing AI Ethics: A Deep Dive Bias in AI: Causes and Mitigation Transparency and Explainability in AI PromptCraft: Illuminating Ideas with High-Definition Brilliance through Stable Diffusion in Text-to-Image Generation Building Responsible AI for Autonomous Applications Responsible AI Governance and Regulation Charting the Future of Responsible AI AI for Good: Social and Environmental Impact Devanshu Tiwari, Kusum Yadav, Ayush Singh Bhadoriya, Pushkar Singh Gurjar and Sanjay Patsariya AI in Finance: Navigating Ethical Quandaries
×