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E-evidence and AI for Law Enforcement Agencies (LEAs)

Date

11 Feb 2021 to 12 Feb 2021

Address

  ONLINE
Belgium

Section

InfoSociety

Event Description

The constant evolution of digital technologies poses challenges and opportunities for law enforcement and judicial authorities. As criminals more frequently exploit and target Internet and Information and Communication Technologies (ICTs) and systems, digital traces represent important sources of evidence for law enforcement officials, judges, and prosecutors. According to recent data published by the European Commission, “More than half of all investigations today involve a cross-border request to access electronic evidence. Electronic evidence is needed in around 85% of criminal investigations, and in two-thirds of these investigations, there is a need to request evidence from online service providers based in another jurisdiction”. The increased production of e-evidence requires competent authorities to understand how to acquire and handle it, to ensure its admissibility in court proceedings.

In response to an increased need to handle and exchange electronic evidence (e-evidence), this training is designed to support investigative and judicial authorities to navigate the complexities of e-evidence confidently. This support enables an enhanced use of e-evidence in investigations, court proceedings, and cross-border exchanges.

The first part of the training provides an overview of fundamental concepts related to e-evidence: the international and EU legislative frameworks, practical knowledge for acquiring and handling e-evidence and case studies. You will look at the topic of e-evidence from the perspective of law enforcement, judicial authorities, third party providers and private citizens.

The second part of this training will cover Artificial Technology (AI), the revolutionary technology that is becoming most critical to the Law Enforcement Agencies (LEAs) in their daily operations. AI enables LEA’s to better respond to incidents, prevent threats, stage interventions, divert resources, investigate, analyse criminal activity. By activating AI capabilities beyond an individual LEA, the operational cooperation between LEAs can be strengthened so that they can prevent, detect and investigate transnational criminal activities, terrorism, and irregular border crossings. AI is a double-edged sword which brings solutions, but also challenges. Thus, LEAs will have to consider AI technology their ally both for battling crime (and cybercrime) and protecting physical and digital assets and civilians (and the LEA AI systems) from AI-based attacks. Furthermore, the second part of this training will cover the legal and standardisation framework related to these technologies’ trustworthy use.

What will you learn?

By the end of the training, you will be:

  • Familiar with the concepts of cybercrimee-evidence and digital justice and the relation between them
  • Develop knowledge of relevant international and EU instruments, including the EU e-evidence package
  • Develop knowledge of relevant EU instruments and tools for obtaining and exchanging e-evidence
  • Discuss challenges and opportunities of AI related to e-evidence
  • Understand concerns related to digital rights and rights protection
  • Familiar with the AI technologies
  • Discuss the threats, opportunities and challenges of AI
  • Become familiar with the legal framework and EU policies related to AI deployment

Course methodology/highlights and level:

This course is open also to participants with less advanced knowledge of e-evidence, and to ensure that they will benefit from the course we have included a series of preparatory classes, available on our e-learning platform. These (optional) classes will be useful to develop basic knowledge and understanding relevant to the course. The course is also addressed to an audience which has already a degree of understanding of, and familiarity with e-evidence and relevant legislation and procedures, as it includes the advanced discussion of topics related to cybersecurity, AI, rights protection and cross-border cooperation.

After-course support:

Participants to this course will be invited to join a closed LinkedIn network of alumni who have knowledge and skills in the fields of digital justice, digital criminal justice, cybersecurity and AI.

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