From Black Box to Glass Box: Is AI Transparency Still Possible?

Explainable AI typically involves tools & techniques to understand how a complex model behaves, in a simple, straightforward and intuitive way so humans can understand it. It answers why an automated decision making tool resulted in a specific output that impacts customers, but doesn't explain how. It's predicted the explainable AI market size is estimated to reach $21.8 billion by 2030, up from $4.1 billion in 2021. And Gartner's crystal ball paints a picture that "by 2025, 30% of government and large enterprise contracts for the purchase of AI products and services will require the use of explainable and ethical AI." So, what's fueling predicted market growth? The accelerant for the explainable AI market is due in part to EU advent of GPDR's Article 13-15 and 22, which establishes rights specific to algorithmic decision making, including a right of both notification and access to meaningful information about the logic involved and the right of the significance of and envisioned effects of solely automated decision making.