Corporate and Financial Information in the Age of Synthetic Data (Young Feltrinelli Prize in the Moral Sciences)

This book develops a general theory of synthetic data as an emerging object of corporate and financial law.As artificially generated datasets increasingly inform credit modelling, stress testing, ESG disclosure, algorithmic governance, and supervisory experimentation, they are transforming the informational foundations of market life.In modern markets, knowledge is no longer simply observed; it is increasingly constructed. It argues that, once informational premises are engineered rather than discovered, law can no longer be limited to regulating the use of data.It must also govern the conditions under which data are generated and rendered authoritative.Drawing together corporate governance, financial regulation, prudential supervision, data protection, and AI law, it develops a unifying framework-Bounded Simulation Governance-through which synthetic informational environments become legally intelligible. At the core of the argument is the concept of simulation risk: a distinct form of