Artificial Intelligence Morals explores the growing ethical dilemmas arising from the increasing integration of AI into our lives. It addresses critical questions about algorithmic bias, accountability, and the responsible design of AI systems.
The book emphasizes that ethics must be a core component of AI development, not an afterthought, and highlights how biases in training data can lead to discriminatory outcomes in areas like criminal justice and hiring.
The book uniquely bridges abstract ethical theory with practical technological applications, offering strategies for mitigating bias and enhancing transparency. It begins by laying a foundation in both AI technology and ethical philosophy, making complex concepts accessible to a broad audience.
It then progresses through three key areas: ethical AI design, the problem of bias amplification, and the challenges of establishing accountability when AI systems make harmful decisions.
Drawing upon case studies, legal precedents, and philosophical analyses, the book navigates the complex landscape of AI ethics. It connects to disciplines such as law, sociology, and computer science, providing a multidisciplinary perspective on the moral responsibility associated with increasingly autonomous machines.
This approach aims to empower readers to engage in informed discussions about AI's impact and advocate for responsible development and deployment.
