About Workshop
This 3-day advanced workshop explores the growing impact of Artificial Intelligence on criminal law, constitutional rights, cybercrime, surveillance, digital evidence, and procedural justice. AI is increasingly being used in policing, investigation, surveillance, identity verification, predictive systems, and digital decision-making. At the same time, it is also being misused for deepfakes, impersonation, financial fraud, misinformation, cybercrime, and online harassment.
Participants will learn how criminal liability, privacy, equality, free speech, due process, digital evidence rules, and accountability apply in AI-enabled environments. The workshop will include case-based discussions, practical legal scenarios, AI-tool demonstrations, and hands-on activities related to cybercrime risk mapping, deepfake analysis, constitutional impact assessment, and digital evidence documentation.
This workshop is suitable for law students, PhD scholars, researchers, academicians, legal professionals, cyber law learners, policy researchers, compliance professionals, and participants interested in the future of AI and justice systems.
Aim
The aim of this workshop is to help participants understand how AI is transforming criminal law, cybercrime, constitutional rights, digital evidence, and justice systems, while developing practical skills to analyze AI-related legal risks and responsible governance challenges.
What Participants Will Learn
- To introduce participants to the role of AI in cybercrime, criminal investigation, and justice systems.
- To explain how AI is used and misused in deepfakes, impersonation, fraud, misinformation, and online harassment.
- To help participants understand criminal liability in AI-assisted offences.
- To analyze the legal responsibility of users, developers, platforms, and organizations in AI-enabled crimes.
- To explain constitutional concerns related to AI surveillance, biometric monitoring, and automated decision-making.
- To examine privacy, equality, free speech, due process, fairness, and accountability issues in AI systems.
- To introduce digital evidence concepts, admissibility concerns, metadata, electronic records, and chain of custody.
- To train participants in preparing AI cybercrime risk matrices, constitutional impact notes, and digital evidence checklists.
- To promote responsible use of AI in policing, investigation, legal research, and justice-sector governance.
Structure
📅 Day 1 – AI, Cybercrime, Deepfakes and Criminal Liability
- Introduction to AI-enabled cybercrime
- Deepfakes, impersonation, identity misuse, and online fraud
- AI-generated phishing, social engineering, misinformation, and reputational harm
- Criminal liability for AI-assisted offences
- Liability of users, developers, platforms, and organizations
- Mens rea and actus reus in AI-assisted offences
- AI-generated fake evidence and manipulated media
- Challenges in investigation, prosecution, and accountability
- Comparative legal concerns in AI-enabled crimes
- Victim rights, platform responsibility, and legal response mechanisms
- AI and constitutional rights in the digital age
- Privacy concerns in AI surveillance and biometric monitoring
- Facial recognition and automated identity verification
- Automated decision-making and due process concerns
- Equality and discrimination in algorithmic systems
- Free speech, misinformation, and platform regulation
- Predictive policing and constitutional safeguards
- Bias in AI-based criminal justice systems
- Human oversight, accountability, and transparency
- Balancing public safety with fundamental rights
- Meaning, nature, and importance of digital evidence
- AI-generated evidence and manipulated digital media
- Admissibility concerns in digital evidence
- Chain of custody and documentation requirements
- Metadata, screenshots, logs, and electronic records
- AI tools in investigation and legal research
- Risks of overreliance on AI-generated findings
- Human review in AI-assisted investigation
- Governance of AI in policing, investigation, and criminal justice
- Building a responsible AI justice checklist
Important Dates
Registration Ends
4:30 PM
Workshop Dates
2026-06-22
05:30 PM
05:30 PM
What You Will Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Outcomes
- Understand how AI is changing criminal law, cybercrime, surveillance, and justice systems
- Identify legal issues in AI-enabled crimes such as deepfakes, impersonation, fraud, and misinformation
- Analyze criminal liability in AI-assisted offences
- Understand legal responsibility of users, developers, platforms, and organizations
- Evaluate privacy, equality, free speech, due process, and accountability concerns in AI surveillance and automated systems
- Understand digital evidence, admissibility, metadata, and chain of custody issues
- Prepare AI cybercrime risk matrices and legal issue briefs
- Prepare constitutional rights impact assessment notes
- Create basic digital evidence checklists for AI-related offences
- Understand responsible AI governance in policing, investigation, and justice-sector use
Who Should Attend
- Law students and postgraduate learners interested in criminal law, cyber law, constitutional law, and AI law
- PhD scholars, researchers, and academicians working on law, policy, cybercrime, digital rights, or AI governance
- Advocates, legal professionals, and legal researchers interested in AI-enabled offences and digital evidence
- Cyber law learners, compliance officers, and policy professionals working with digital platforms or AI systems
- Public policy, criminology, forensic science, and digital rights professionals
- Faculty members and trainers interested in AI, law, justice, cybercrime, and constitutional rights
Deliverables
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience