Trust and Artificial Intelligence: Development and Application of AI Technology

Across its two distinct sections, the book delves deep into both theoretical frameworks and real-world applications. Section I, "Trust in Artificial Intelligence Technology," comprises 12 insightful chapters, each shedding light on different aspects of trust in AI. From ethical considerations and the credibility of AI systems to the intricacies of blockchain technology and digital therapists, the book offers a kaleidoscope of perspectives, showcasing how trust shapes and is shaped by AI advancements. Section II, "Trust in Artificial Intelligence Technology Applications," extends the discourse to practical implications and case studies. With 12 additional chapters, it scrutinizes the impact of AI on diverse sectors such as healthcare, agriculture, the labor market, and online shopping. It contemplates the trust dynamics in neural networks, public sector AI, and the burgeoning field of last-mile logistics.

The book is more than just an academic text; it is a vital conversation starter in the ever-evolving discourse of AI. It challenges us to rethink our relationship with technology, underlining the critical role of trust in harnessing the full potential of AI for a better, more efficient, and ethically sound future.