Generative Artificial Intelligence (AI), an ever-evolving technology, holds immense promise across various industries, from healthcare to content generation. However, its rapid advancement has also given rise to profound ethical concerns. Illicit black-market industries exploit generative AI for counterfeit imagery, and in educational settings, biases and misinformation perpetuate. These issues underscore the need to grapple with the risks accompanying generative AI integration.

Exploring the Ethical Implications of Generative AI emerges as a wellspring of insight for discerning academic scholars. It sets the stage by acknowledging generative AI's multifaceted potential and its capacity to reshape industries. The book addresses these complex ethical concerns, offering a comprehensive analysis and providing a roadmap for responsible AI development and usage. Its intended audience spans business leaders, policymakers, scholars, and individuals passionate about the ethical dimensions of AI.

The book's objective is a twofold mission: to identify and dissect the ethical challenges inherent in generative AI while prescribing practical guidelines for its responsible development and utilization. By amalgamating the current research landscape, it aims to provide a comprehensive view of the field. Furthermore, the book introduces a set of practical guidelines that can serve as a guiding light for developers and users in diverse contexts, including workplaces, media, healthcare, education, and the military. By comprehensively addressing issues like bias, privacy, misuse, accountability, and responsibility, this book becomes the definitive guide for academic scholars navigating the ethical dilemmas of generative AI, ultimately safeguarding the responsible evolution of this groundbreaking technology.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence Development
Content Generation
Counterfeit Imagery
Digital Exploitation
Ethical Concerns
Healthcare Applications
Practical Guidelines
Responsible Artificial Intelligence Applications
Technology Safeguards

Table of Contents

Search this Book:

Reset

Editor/Author Biographies

Aftab Ara, as a technologically savvy researcher, author, and academician, they have authored the book "The Innovation Shift in Higher Education" through Palgrave Macmillan. They have also facilitated workshops and presented at conferences both domestically and internationally on topics related to the use of technology in higher education. They are passionate about leveraging modern technologies to provide a more agile, engaging learning experience for students. Their current research focuses on human resource management, knowledge management, and innovation with digital technologies, including artificial intelligence and ethics. They are a firm believer in the ability of technology to foster collaboration, creativity, and communication. Currently, they are working as an Asst. Professor at the University of Hail in the Business and MIS Department where they strive to apply a systems approach and multidisciplinary techniques while tackling practical issues to implement effective solutions accordingly. They research and write about technology and business with the goal of creating a positive impact on the world. Their work is engaging, and informative, and inspires change for the better.

Affreen Ara is an Assistant Professor in computer science, currently pursuing a PhD in Machine Learning at Christ University, Bangalore, India. Their research interests include Machine Learning techniques, programming, and web technologies. They have over six years of teaching experience and expertise in subjects such as Software Engineering, Software Project Management, Internet Web Technology, Cryptography and Network Security, Database Engineering, Java Programming, E-commerce, C and C++ Programming, and Data Analytics. They have strong coding skills in C, C++, HTML, SQL, CSS, R, Python, XML, Java, and JavaScript. They also have hands-on experience with tools such as Eclipse, Rapid Miner, Tableau, and KNIME. They are passionate about learning new things and am always eager to stay up-to-date on the latest technologies. In their free time, they enjoy programming and exploring new ways to use technology to solve real-world problems. Research Interests: Machine Learning Programming Web Technologies Teaching Experience: More than six years of teaching experience Expertise in subjects such as Software Engineering, Software Project Management, Internet Web Technology, Cryptography and Network Security, Database Engineering, Java Programming, E-commerce, C and C++ Programming, and Data Analytics Coding Experience: C C++ HTML SQL CSS R Python XML Java JavaScript Tools and Technologies: Eclipse Rapid Miner Tableau KNIME Areas of Knowledge and Interest: Machine Learning techniques Programming Web Technologies Software Engineering Software Project Management Internet Web Technology Cryptography and Network Security Database Engineering Java Programming E-commerce C and C++ Programming Data Analytics.

Archiving

All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci^® platform.