Criminologists have a choice: continue analyzing the old script as if it were the only one, or learn the new grammar of harm. This paper has argued for the latter. The new script does not replace the old—physical crimes still occur—but it increasingly dominates high-impact, high-volume, and transnational offending. If we fail to understand the script, we cede the stage to those who write it best: the offenders.
Responsibility is distributed and emergent . Legal notions of mens rea (guilty mind) struggle when no single mind exists. 4. Shift Three: From Moral Transgression to Algorithmic Exploitation The old script framed crime as a violation of a moral or legal norm. The new script frames crime as the exploitation of a system’s computational logic . Offenders do not “break rules” so much as optimize loopholes . Criminality New Script
In high-frequency trading (HFT) fraud, a trader uses a latency arbitrage algorithm to front-run orders—not by lying, but by exploiting the microsecond differences in how exchanges process data. Is this theft? It feels like theft, but it looks like code. Similarly, an AI-generated child sexual abuse material (CSAM) may depict no real child, yet it trains on and perpetuates harm. Criminologists have a choice: continue analyzing the old
For a century, criminological theory has relied on a conventional “script” of criminality: physical, predatory, territorially bound, and motivated by material need or social dysfunction. However, the confluence of digital ubiquity, artificial intelligence, and decentralized finance has rendered that script obsolete. This paper proposes a new script for 21st-century criminality, characterized by three paradigm shifts: (1) from physical space to hybrid ontology (crime that is simultaneously digital and physical), (2) from actor to network (distributed, automated, and anonymous offending), and (3) from moral transgression to algorithmic exploitation (crime as a computational logic problem). We argue that understanding this new script requires a synthesis of routine activity theory, actor-network theory, and post-digital criminology. The paper concludes with implications for law enforcement, policy, and prevention, advocating for a proactive, code-based counter-script rather than reactive, spatial policing. If we fail to understand the script, we
Actor-Network Theory (Latour, 2005) becomes criminologically useful. Non-human actors (algorithms, smart contracts, blockchain validators) are actants that shape criminal outcomes. A poorly coded smart contract is not just a tool; it is a co-producer of the crime.
Routine activity theory (Cohen & Felson, 1979) must be re-specified. The “suitable target” is no longer just a person or property; it is a vulnerable API, a weak password hash, or an unpatched firmware . The “capable guardian” is not just a police officer or a neighbor; it is a firewall, an intrusion detection system, or a platform’s content moderation algorithm . The “motivated offender” may be a bot, a state-sponsored hacker, or a decentralized autonomous organization (DAO) of pseudonymous actors.