A CRITICAL REVIEW OF AVAILABLE INFRASTRUCTURE, POLICY FRAMEWORKS, AND ORGANIZATIONAL CULTURE IN THE IMPLEMENTATION OF FAIRNESS-ENHANCING ARTIFICIAL INTELLIGENCE

Gyani Ray, N Molla — Thu, 02 Apr 2026 00:00:00 +0000

The paper is a critical analysis on why infrastructure, policy based, and organizational culture is important in the successful implementation of fairness-improving artificial intelligence (AI). Although the metrics of algorithmic fairness and bias mitigation have been heavily developed, their application in an institutional context is poorly coordinated. The major void in knowledge is how sociotechnical conditions facilitate or limit the process of long-term adoption of fairness beyond the optimization of the technical side. A systematic literature review based on PRISMA helped to identify 150 records, screen them, and then reduce them to 20 studies that fulfilled the inclusion criteria, which were all related to implementation contexts. These results indicate that strong data governance and lifecycle monitoring and auditing systems are the basis of operational fairness, and that enforceable policy mechanisms and culture rooted in leadership play a significant role in the result. The paper concludes that AI-based fairness encompasses a sociotechnical ecosystem and not a set of technical responses.

VOICE OVER INTERNET PROTOCOL (VOIP) NETWORK FORENSICS AND SECURITY: A COMPREHENSIVE SYNTHESIS OF DIGITAL INVESTIGATION TECHNIQUES, TRAFFIC ANALYSIS, AND EMERGING CHALLENGES

Vaishnavi Raut, Kapil Shukla, Dr. Krishna Modi — Tue, 14 Apr 2026 00:00:00 +0000

Voice over Internet Protocol (VOIP) has changed the way people communicate all over the world because it provides people with flexible and inexpensive alternatives to the traditional telephony. But this change presents complicated security and forensic issues that require expert investigation techniques. This review sees a significant shift in the open-standard protocol analysis towards the application-specific study of encrypted proprietary platforms including Zoom, Discord and Microsoft Teams. Memory forensics is now capable of retrieving volatile evidence found in RAM and machine learning has improved the detection of encrypted traffic to more than 95 percent. There are still persistent problems with real-time evidence collection, cross-platform compatibility and compatibility against developing encryption standards. The upcoming studies aim at automation, privacy preserving methods of investigation, and quantum resistant security models that would address the new forensic requirements.

Journal of Digital Security and Forensics

A CRITICAL REVIEW OF AVAILABLE INFRASTRUCTURE, POLICY FRAMEWORKS, AND ORGANIZATIONAL CULTURE IN THE IMPLEMENTATION OF FAIRNESS-ENHANCING ARTIFICIAL INTELLIGENCE

VOICE OVER INTERNET PROTOCOL (VOIP) NETWORK FORENSICS AND SECURITY: A COMPREHENSIVE SYNTHESIS OF DIGITAL INVESTIGATION TECHNIQUES, TRAFFIC ANALYSIS, AND EMERGING CHALLENGES