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Ongoing research

Explore SHER DeepAI’s research on Explainable Artificial Intelligence (XAI). Our work focuses on making AI systems transparent, interpretable, and trustworthy — bridging the gap between human understanding and machine intelligence.

Two-Stage Selective Explanation Approach: Efficient Feature Attribution for High-Dimensional AI Models

Rajkumar Verma, Alaka Singh (DISSERTATION SYNOPSIS)

When thousands of features are present, computing explanations for every feature becomes infeasible in terms of time and resources. This creates a need for an efficient XAI approach that can identify the most influential features without exhaustively analyzing all inputs.

Explainable AItailored AI explanationsinteractive XAIXAI for High Dimentaional Inputresponsible innovation