The book combines theoretical considerations and wide-reaching empirical analyses from a representative sample of international respondents. It deals with the individual approach to human risk-taking, and human–AI interaction and its benefits and threats. The book explores how people react to algorithms, what drives algorithm aversion and appreciation, and how understanding of those mechanisms can be employed to improve financial advisory systems and also considers the impact of the Covid-19 pandemic on financial behavior. Chapter 4 of this book is freely available as a downloadable Open Access PDF at www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 International license.