Andile at AFIIA 2026 · Signals in the Noise

Week 1 · Pre-event read

Your AI might be making decisions you can't explain.

AI models are embedded in critical decisions. But most operate as black boxes — and when something goes wrong, you can't trace it, justify it, or fix it. That's why AI auditing is becoming critical.

It's not just checking outputs — it's understanding how it was built
What data shaped it, and how it behaves over time
From lifecycle oversight to risk-based frameworks
Most organisations are still auditing AI like traditional systems — and that doesn't work

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Week 2 · Pre-event read

From Black Swans to Grey Swans.

The biggest disruptions in history weren't completely unexpected — they were just ignored. Black Swan events feel random, but many start as weak, fragmented signals. We call those Grey Swans.

Risks that are rare, slow-building, but detectable — if you know where to look
Signals exist across markets, news, behaviour and systems — but they're never connected
This is where AI changes everything — it connects the signals before they become crises
From anomaly detection to real-time risk indicators

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