Day 1: AI in Cybercrime and Cybersecurity

1. Overview of Cyber Laws and Their Evolution

• Key cybercrime legislation (e.g., Computer Fraud and Abuse Act, GDPR)
• International frameworks for cybercrime (e.g., Budapest Convention)
• Challenges in applying traditional laws to cyber offenses

2. Introduction to AI's Role in Cybercrime and Cybersecurity

• AI as a tool for cybercriminals: automated attacks, social engineering
• AI in cybersecurity: threat detection, anomaly identification
• Dual-use nature of AI in the cyber domain

3. AI-Powered Cyber Attacks: Types and Mechanisms

• AI-enhanced phishing and social engineering
• Adversarial attacks on AI systems
• Automated vulnerability discovery and exploitation
• AI-powered malware and ransomware

4. Legal Challenges in Attributing AI-Assisted Cybercrimes

• Technical difficulties in tracing AI-powered attacks
• Jurisdictional issues in cross-border cybercrimes
• Evidentiary challenges in prosecuting AI-assisted crimes