As artificial intelligence becomes embedded in everything from smartphones to critical infrastructure, a new frontier in digital forensics is emerging. When AI systems are involved in crimes—whether as tools used by criminals or as the subjects of investigation themselves—how do we collect, analyze, and present digital evidence?
This presentation explores the cutting-edge intersection of AI and forensic investigation, addressing critical questions facing law enforcement, cybersecurity professionals, and legal systems today:
How do we investigate crimes committed using AI-powered tools?
What happens when AI systems themselves commit harmful acts, and how do we determine accountability?
How can AI assist forensic investigators in processing massive volumes of digital evidence faster and more accurately?
What are the challenges of "black box" AI systems in maintaining chains of custody and courtroom admissibility?
Drawing from real-world cases and current research, this session will demonstrate practical applications of AI in digital forensics—from machine learning algorithms that detect anomalies in network traffic to AI-powered analysis of complex transaction patterns and system logs. We'll also confront the ethical dilemmas: algorithmic bias in evidence analysis, privacy concerns with AI-powered surveillance, and the "explainability" problem when AI conclusions must withstand legal scrutiny.
Whether you're a developer building AI systems, a security professional protecting against threats, or simply curious about how technology intersects with justice, this talk will equip you with critical insights into how we investigate and attribute responsibility in an age where both criminals and investigators are leveraging artificial intelligence.
Key Takeaways:
- Understand emerging threats from AI-enabled cybercrime
- Learn how AI tools are revolutionizing forensic investigations
- Explore legal and ethical challenges in AI forensics
- Discover the future of digital evidence in AI-driven systems