Social, Ethical & Legal Aspects of Generative AI: Tools, Techniques, and Systems
highlights the transformative exploration of the AI revolution. This groundbreaking discourse deciphers the nexus between cutting-edge generative AI tools and the societal framework that shapes their impact. Generative AI is more than a technological marvel; it's a societal force reshaping industries, education, healthcare, and governance. Explore the ethical dilemmas, legal challenges, and innovative solutions driving its global adoption. This volume provides an insight into the latest innovations and state-of-the-art research in the fields of Social, Ethical & Legal Aspects of Generative AI, showcasing their potential to address AI's profound societal implications. It spans a diverse array of topics, including:
- Advanced AI-driven creative tools revolutionizing industries.
- Navigating the legal landscape of generative technologies.
- Addressing biases, data privacy, and societal inclusivity.
- Shaping a future where technology and humanity coexist harmoniously.
By merging cutting-edge theoretical insights with practical applications, this volume provides researchers, practitioners, and students with the essential knowledge and tools to explore and advance within the dynamic field of Social, Ethical & Legal Aspects of Generative AI. Generative AI technologies bring transformative potential but also raise critical questions about privacy, bias, and accountability, demanding ethical frameworks to guide their development and deployment. The social implications of generative AI include its impact on employment, creativity, and human interactions, necessitating balanced approaches to ensure inclusivity and equity. Legal challenges surrounding generative AI focus on intellectual property, liability for AI-generated content, and adherence to global data protection laws. Addressing the ethical, social, and legal aspects of generative AI is essential to fostering innovation while safeguarding human rights and societal well-being.
1. Designing AI Systems with User Empathy and Inclusivity: Navigating Bias and Representation.- 2. Harnessing the power of AI: A resource-based view of the Med Tech Industry.- 3. Implementation of Generative AI.- 4. Cultural Shifts and Artificial Superintelligence.- 5. A Study on the Role of Artificial Intelligence in Digital Marketing and It’s Influence on Customer Buying Behaviour.
