Jain D. A Compendium of Responsible Artificial Intelligence 2025 torrent

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