Why transparent AI matters for enterprise trust

Trust is a major issue hampering the adoption of AI technology, and at the core of this is the problem of ‘black box’ AI.

As enterprises race to implement AI projects, many have bought-in pre-trained black box models, which provide answers, but no explanations.

Many of the better-known AI tools are considered black boxes - we cannot see inside, they perform tasks well, but we’re not necessarily sure how.

40% of organizations called out explainability as a blocker preventing trust in AI, according to McKinsey. To truly derive value from AI technology in the enterprise we need something different from the existing approach many have taken. We need solutions that offer greater transparency in how they work and how they arrive at the answers they deliver.

If CIOs, developersand end users can work together, we can arrive at AI that is transparent, adaptable and aligned with real needs. Just...

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