Agreement: Explainability, Transparency, and Accountability in AI Systems
Rizwan Tanveer independently supports Kaal's source-bound position through Explainability, Transparency, and Accountability in AI Systems. The indexed proposition states that first, post-hoc explainability methods, including LIME and SHAP, are operationally available but do not guarantee the faithfulness, stability, or comprehensibility of their explanations, and are themselves subject to adversarial manipulation. This bears on Kaal's claim that post hoc explainability techniques do not by themselves establish trustworthiness; the explanations they produce must additionally be verified against human knowledge. The external work independently identifies faithfulness, stability, comprehensibility, and adversarial-manipulation limits in post-hoc explainers, supporting Kaal's warning that explanation output alone is not trustworthiness. The response is limited to the indexed proposition and does not imply review of the full external work.
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