Getting The Innovation Ecosystem Ready For Ai

Download Getting The Innovation Ecosystem Ready For Ai PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Getting The Innovation Ecosystem Ready For Ai book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Getting the innovation ecosystem ready for AI

Author: World Intellectual Property Organization
language: en
Publisher: WIPO
Release Date: 2024-03-11
As AI technologies evolve at an exponential pace there are many questions and challenges for IP and the IP system. The purpose of this IP policy toolkit is to provide policymakers with a framework to understand the state of play of AI innovation right now and to think about the future as AI becomes increasingly autonomous.
AI for good: India and beyond

Author: Maneesha Dhir, Sonal Verma
language: en
Publisher: Notion Press
Release Date: 2024-05-15
"AI FOR GOOD-INDIA AND BEYOND" is a seminal work offering a comprehensive navigation into the evolution and current state of AI regulation in India, marking significant judicial decisions and emerging policies with a keen eye on their alignment with international laws/standards. The book advocates for a Human Rights-Centric Policy Approach promoting fairness, accountability, and transparency in the development of ethical AI systems. Analysing global trends and legal approaches towards AI governance, the authors provide a comparative panorama spanning the latest EU AI Act (2024) to enactments in Brazil, China, Japan, and the USA. Key features • Comprehensive Analysis: Detailed analysis of AI & laws, and policies in India and their global interplay. • Legal Frameworks: Exploration of the statutes and case laws that govern AI, highlighting the evolving legal landscape with real-life examples. • Ethical Considerations: Discussion on the ethical frameworks that must be considered for responsible AI management, including safety, inclusivity, equality, privacy, transparency, accountability, and protection of human values. • Policy Recommendations: Tailored recommendations for India, considering its unique position in the global market and potential for AI leadership. • International Perspectives: Examination of international frameworks and guidelines from major entities like the EU, OECD, and the UNESCO, offering a global context for comparison. • IPR and AI Interplay: A dedicated section on the relationship between AI and intellectual property rights, addressing concerns around AI-generated content, and ownership. • Civil and Criminal Liabilities: Insights into the complex issues of AI and legal liability, highlighting discussions of potential civil and criminal implications. • Legal Personhood of AI: An in-depth look at the concept of granting legal personhood to AI entities and the related legal and ethical implications. • Data Governance: The draft National Data Governance Framework Policy and its importance for managing government data and fostering an ecosystem for AI are covered. • Deeper Insights : 500 plus references for deeper understanding of the topics illustrated in the book
Essential Concepts and Techniques of AI & ML

Author: Jagadish A N
language: en
Publisher: Academic Guru Publishing House
Release Date: 2024-08-14
“Essential Concepts and Techniques of AI & ML” is a comprehensive textbook designed to demystify the complexities of Artificial Intelligence and Machine Learning for learners at all levels. The book covers a broad spectrum of topics, starting with an overview of the history and evolution of AI and ML, and progressing to advanced techniques and applications. Readers will explore key concepts such as supervised and unsupervised learning, neural networks, data preprocessing, and model evaluation. Each chapter is carefully structured to provide a balance between theory and practice, with numerous examples, illustrations, and hands-on exercises. The book also delves into the ethical considerations surrounding AI and ML, ensuring that readers are aware of the broader implications of these technologies. Additionally, it introduces popular tools and frameworks, offering practical guidance on how to implement AI and ML models. Whether you are pursuing a career in AI and ML or simply want to understand the technologies driving today’s innovations, this textbook offers the essential knowledge and skills needed to navigate and contribute to this dynamic field.