*Artificial Intelligence and Machine Learning: Societal Impacts and Practical Understanding* is a comprehensive guide that bridges the technical and human dimensions of AI and ML. Designed for students, educators, and professionals, this book demystifies complex concepts while emphasizing real-world applications and ethical implications. It explores the foundations of AI and ML, including algorithms, data handling, and learning models, alongside their integration in industries such as healthcare, education, agriculture, finance, and governance.
The book highlights how these technologies are reshaping the workforce, influencing decision-making, and redefining human-machine relationships. It also provides critical insights into challenges such as bias in AI, data privacy, automation-driven unemployment, and responsible innovation. With a blend of theoretical knowledge and case studies, readers gain both conceptual clarity and practical awareness.
Whether you’re aiming to understand the basics or engage in informed discussions about the future of technology in society, this book offers a well-rounded perspective. It is especially valuable for those seeking to adopt a balanced view of how AI and ML can be harnessed responsibly for sustainable and inclusive development.
