Affiliation:
1. Pragati Engineering College (Autonomous), India
Abstract
The cyber space usage has seen multiple levels and types of cyber-crime. The role of digital forensics to collect criminal evidence and analyze it so as to find a path to the cyber-criminal is equally challenging. In this regard, AI tools and techniques have provided a robust weapon. But the main issue with using AI mechanisms is the understandability; interpretability, of a result, is quite difficult in a court of law. In legal aspects, the AI lacks the features of explainability. In this chapter, the authors shed light on the techniques of explainable artificial intelligence techniques that provide methods to enhance the degree of explainability in tracing a cyber-crime so that the court of law delivers the verdict with complete justice. In the future, XAI-driven digital forensics will go a long way in supporting cyber forensics, and this chapter is a sincere attempt to propel the stakeholders in this domain to give a thought in the same direction.
Reference30 articles.
1. Explainable AI for Digital Forensics: Challenges and Opportunities.;M.Alam;IEEE Access : Practical Innovations, Open Solutions,2022
2. Xai-Cf – Examining the Role of Explainable Artificial Intelligence in Cyber Forensics
3. Explainable AI for Effective Cybercrime Investigation.;Y.Chen;Digital Investigation,2021
4. Scenario-Based Requirements Elicitation for User-Centric Explainable AI
5. Gartner Research Report. (2022). Adopt Explainable AI to Build Trust in Your AI Systems. Gartner.