AI on Trial offers a thorough and thought-provoking examination of the legal and ethical challenges posed by artificial intelligence. Structured across seven well-organized chapters, the book explores foundational principles of AI, the complexities of assigning culpability, and the legal obstacles involved in regulating intelligent systems.

It critically evaluates algorithmic bias, fundamental rights, and the intricate intellectual property implications surrounding AI-generated content—proposing innovative solutions like a "Machine-Created Intellectual Assets Act." The book also delves into debates on AI’s legal personhood, agency, and intentionality, drawing on the Turing Test and comparative international legal frameworks.

In addressing civil and criminal liability, the author discusses the responsibilities of intermediaries, the applicability of product liability laws, and emerging regulatory gaps. A standout chapter introduces the concept of a "safe harbour" framework for AI, assessing its potential to balance innovation with accountability.

The final chapters extend the discussion to AI's impact on critical sectors, including healthcare, free speech, and democratic governance, emphasizing the need for equitable, transparent, and forward-looking regulation.