Titlebook: Digital Transformation, Artificial Intelligence and Society; Opportunities and Ch Sachin Kumar,Ajit Kumar Verma,Amna Mirza Book 2024 The Ed

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糾纏

Paul T. P. Wong,Kwang-Kuo Hwangnsumption. The chapter explores the role of policy and regulatory frameworks in promoting data-driven and circular economy practices. It discusses the need for supportive policies that incentivize data sharing, promote eco-design, and encourage collaboration among businesses, governments, and civil society.

吵鬧

噴油井

多山

Opportunities and Challenges for Data-Driven and Circular Economy,nsumption. The chapter explores the role of policy and regulatory frameworks in promoting data-driven and circular economy practices. It discusses the need for supportive policies that incentivize data sharing, promote eco-design, and encourage collaboration among businesses, governments, and civil society.

LEVY

,Way Forward—Moving Towards Responsible Artificial Intelligence, with ethical principles, societal values, and human well-being. Responsible AI ensures that AI systems are fair, transparent, accountable, and respectful of human rights and privacy. It emphasises the importance of addressing these ethical concerns to build trust and foster the responsible adoption of AI technologies.

使饑餓

Background of Digital Transformation and Society,y and spatially highlights significant events and innovations which have led to the emergence of digital transformation and emerging technologies such as artificial intelligence (AI). The chapter provides a brief journey of information and communication technology (ICT) along with the development of

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心胸狹窄

Digitalisation, Artificial Intelligence, IoT, and Industry 4.0 and Digital Society,the Internet of Things (IoT), and Industry 4.0. This chapter discusses developments that led to digital transformation from a definition point of view. It also provides real-life examples to demonstrate their impact and explore the synergies between digitalisation, AI, and Industry 4.0 and their imp