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Shuhong Zhao

Dr Zhao Shuhong is a professor at the College of Criminal Law of Beijing Normal University, China. His research focuses on a wide range of criminal law science, including criminal law, such as corpus delicti and its elements, criminal responsibility, stages of committing a crime, sentencing for serious crimes, and criminology, such as domestic violence and sexual violence. Over the past decade, he has received prestigious research grants, including a grant to study sentencing for serious crimes from the Max Planck Institute for the Study of Crime, Security and Law and the Fritz Thyssen Foundation in Germany. He has published a considerable number of valuable academic articles in various prestigious journals in the field, which have become part of the teaching literature in China.
Principle of Criminal Imputation for Negligence Crime Involving Artificial Intelligence

Principle of Criminal Imputation for Negligence Crime Involving Artificial Intelligence

This book provides an in-depth discussion of the theoretical and practical issues of criminal imputation for negligence crime involving artificial intelligence. Accordingly, this study combines the imputation challenges brought about by AI with traditional criminal imputation theory and analyses imputation for negligence crime involving AI from three aspects: the basic principles, structure, and results of imputation for negligence crime involving AI.

Principle of Criminal Imputation for Negligence Crime Involving Artificial Intelligence

Principle of Criminal Imputation for Negligence Crime Involving Artificial Intelligence

This book provides an in-depth discussion of the theoretical and practical issues of criminal imputation for negligence crime involving artificial intelligence. Accordingly, this study combines the imputation challenges brought about by AI with traditional criminal imputation theory and analyses imputation for negligence crime involving AI from three aspects: the basic principles, structure, and results of imputation for negligence crime involving AI.

Principle of Criminal Imputation for Negligence Crime Involving Artificial Intelligence

Principle of Criminal Imputation for Negligence Crime Involving Artificial Intelligence

This book provides an in-depth discussion of the theoretical and practical issues of criminal imputation for negligence crime involving artificial intelligence. Accordingly, this study combines the imputation challenges brought about by AI with traditional criminal imputation theory and analyses imputation for negligence crime involving AI from three aspects: the basic principles, structure, and results of imputation for negligence crime involving AI.

The Perpetrator-Victim Relationship: An Important Clue to Understanding Intimate Partner Homicide in China

The Perpetrator-Victim Relationship: An Important Clue to Understanding Intimate Partner Homicide in China

This book is devoted to illustrating the significance of perpetrator-victim relationship, including its status and state, in understanding intimate partner homicide (IPH) in the context of China today after comparing with the findings in the previous studies.

The Perpetrator-Victim Relationship: An Important Clue to Understanding Intimate Partner Homicide in China

The Perpetrator-Victim Relationship: An Important Clue to Understanding Intimate Partner Homicide in China

This book is devoted to illustrating the significance of perpetrator-victim relationship, including its status and state, in understanding intimate partner homicide (IPH) in the context of China today after comparing with the findings in the previous studies.

The Perpetrator-Victim Relationship: An Important Clue to Understanding Intimate Partner Homicide in China

The Perpetrator-Victim Relationship: An Important Clue to Understanding Intimate Partner Homicide in China

This book is devoted to illustrating the significance of perpetrator-victim relationship, including its status and state, in understanding intimate partner homicide (IPH) in the context of China today after comparing with the findings in the previous studies.