ETHICAL AND LEGAL IMPLICATIONS OF PREDICTIVE POLICING THROUGH CYBER DATA
ETHICAL AND LEGAL IMPLICATIONS OF PREDICTIVE POLICING THROUGH CYBER DATA

Summary/Abstract: The accelerated integration of artificial intelligence in law enforcement brings the concept of predictive policing to the cybersecurity arena, where attacker profiling and behavioral analysis are used to anticipate patterns of digital crime. However, these technologies raise major ethical and legal challenges. Predictive models can reinforce discrimination and algorithmic bias, and treating probabilities as evidence risks undermining the principle of the presumption of innocence. Furthermore, the tension between collective protection against cyber threats and respect for fundamental rights – such as privacy, due process and digital autonomy– remains difficult to reconcile. This paper examines these dilemmas at the intersection of law, ethics and cybersecurity, highlighting both the potential for prevention and the risks of abuse. In response, we propose an ethical and legal framework for predictive cyber-policing, grounded in principles of accountability, transparency, and proportionality, intended to guide the legitimate use of these tools in an era where algorithms increasingly shape legal and security decisions.

• Details
• Contents