Research
My research examines how criminal law should respond when agency, evidence and responsibility are transformed by artificial intelligence, robotics and digital infrastructures.
The central question is not only whether existing criminal-law categories can be applied to new technologies. It is whether those categories still describe the structure of action, control and blame in systems where conduct is distributed across humans, machines, developers, operators, institutions and data environments.
Research Themes
This strand examines how responsibility should be attributed when AI systems shape, mediate or influence human conduct. It focuses on culpability, causation, intention, negligence and the limits of traditional attribution models.
This work explores human-machine systems in which action cannot be reduced to either a purely human decision or a purely autonomous machine output. It includes research on neuroprosthetics, robotic control, augmented agency and hybrid intention.
This strand tests the boundaries of criminal law when robots, autonomous systems and posthuman environments challenge traditional assumptions about harm, victimhood and legal subjectivity.
This work focuses on encrypted-platform evidence, algorithmically processed evidence, structural opacity and the ability of criminal proceedings to preserve adversarial review.
This research examines how courts and legal institutions should prepare for AI-enabled forms of cooperation, especially in cross-border criminal matters.
This strand studies the procedural and human-rights conditions under which technological evidence and AI-enabled tools can be used in criminal justice.
Current Projects
Developing a framework for allocating criminal culpability when human intention and technological control are integrated through neuroprosthetic and robotic systems.
Examining how criminal proceedings should respond to encrypted-platform evidence and the structural limits of adversarial review.
Interrogating the assumption that every punishable act can be traced to a bounded and identifiable human agent in a posthuman environment.
Selected Questions
When conduct is distributed across humans, machines, developers and operators, who is the criminal-law subject?
Can intention and control be meaningfully assessed in neuroprosthetic and augmented-agency systems?
How can adversarial review survive encrypted-platform and algorithmically processed evidence?
What court-usable tests can attribute responsibility without abandoning legality and culpability?
How should human-rights safeguards constrain AI-enabled judicial cooperation?
Methodological Angle
Court-usable, not only speculative — frameworks tested against procedural reality, the limits of institutions and the demands of legality and human rights.