Forbes Technology Council shares 20 expert strategies to improve transparency in black box AI systems
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In the article “Improving Transparency In Black Box AI: Expert Strategies That Work”, members of the Forbes Technology Council share actionable methods to ensure AI systems are interpretable and accountable. Chris Brown, emphasizes that transparency should not be a post-hoc effort but integrated into monitoring workflows from the start, ensuring stakeholders have real-time insights into model decision-making.
Access to the Forbes Article “Improving Transparency In Black Box AI: Expert Strategies That Work”
Originally published on May 14, 2025
“One effective strategy is to incorporate explainability tools directly into model monitoring workflows. Instead of treating explainability as a post-hoc add-on, embedding model interpretability from the start provides stakeholders with insights into feature importance and decision rationale in real time.”