Main session 4 – Cybercrime, e-evidence and AI
Artificial intelligence (AI) is reshaping cybercrime, both in terms of the threats it enables and in the opportunities to investigate crime and collect electronic evidence. AI-powered tools allow cybercriminals to carry out more sophisticated and large-scale attacks, such as automated phishing campaigns that dynamically adapt to individual targets. On the other hand, AI is enhancing capabilities for the detection, prevention and prosecution of cybercrime and the collection of electronic evidence. Machine learning algorithms can analyse massive amounts of data to detect threats and extract evidence. The question is to what extent current domestic and international legal frameworks (including the Convention on Cybercrime) are applicable to AI in terms of (a) offences, (b) procedural powers to investigate crime and collect electronic evidence, and (c) international cooperation. In December 2024, the Cybercrime Convention Committee (T-CY), therefore, established a working group tasked to explore this question in the form of a mapping study. This session of the Octopus Conference will feed into the work of the T-CY Working Group on AI. The purpose of this session is to:
- Exchange views on underlying concepts regarding AI, cybercrime and e-evidence
- Provide an update – with examples – of offences committed against, by and by means of AI systems
- Identify legal and practical challenges to the use of AI for the collection of e-evidence and international cooperation.
Questions for discussion:
- What are the typical offences committed against, by and by means of AI systems and how legislators should adapt to these trends?
- AI-driven offences may expose gaps in current laws, how can we create adaptive legislation without restricting innovation? Can the offences of the Convention on Cybercrime be applied?
- Criminal law may have difficulties resolving the questions related to intent, liability and negligence in AI-related crimes, should we rethink traditional legal principles?
- How to gather electronic evidence in relation to AI crimes and cooperate with AI service providers. How can the Convention on Cybercrime be applied
- How can we ensure that the AI tools used by the criminal justice authorities are applied in accordance with human rights and rule of law conditions and safeguards, rules on territoriality and jurisdiction and maintaining the chain of custody?
- How can targeted capacity-building initiatives empower law enforcement, judicial authorities, and policymakers to stay ahead of cybercriminals while ensuring legal and ethical compliance?
Presentations and panel discussions
- Introduction and objective of the session
- The dark side of AI: offences against, by and by means of AI systems
- The bright side of AI: leveraging AI for investigations, the collection of electronic evidence and international cooperation
- Conclusions by moderator or rapporteur
Resources
Council of Europe
- Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (CETS No. 225)
- Feasibility Study on a future Council of Europe instrument on artificial intelligence and criminal law (2020)
- Recommendation regarding the ethical and organisational aspects of the use of artificial intelligence and related digital technologies by prison and probation services (2024)
- Discussion paper on a future legal instrument addressing criminal liability related to the use of artificial intelligence (2024)
- HUDERIA Methodology
CEPEJ
- Information note on the Use of Generative AI by judicial professionals in a work-related context (2024)
European Union
EUROPOL
- AI and policing. The benefits and challenges of artificial intelligence for law enforcement (2023).
- Assessing technologies in law enforcement: a method for ethical decision-making
OECD:
Law Commission of Ontario: AI in Criminal Justice Project
- Use of AI by Law Enforcement
- AI and the Assessment of Risk in Bail, Sentencing, and Recidivism
- AI at Trial and on Appeal
- AI and Systemic Oversight Mechanisms
- Executive Summary and List of Consultation Questions
Journal articles:
- Sabine Gless, Frederic Lederer, & Thomas Weigend, AI-Based Evidence in Criminal Trials?
- Gless, Sabine and Silverman, Emily and Weigend, Thomas, If Robots Cause Harm, Who Is to Blame? Self-Driving Cars and Criminal Liability
If you have any questions related to this workshop, please contact the Octopus Conference Secretariat