AI and machine learning are fueling the next wave of change in financial services, promising efficiency and smarter decisions – but they’re also ushering in a maze of new legal headaches. Regulators, eager to encourage innovation but wary of risk, are focusing on whether AI-driven systems are transparent, auditable, and fair. Firms face growing scrutiny over model explainability and controls – words that never mattered much before the rise of algorithms.​

But compliance in this landscape isn’t just about “checking the box.” How should firms guard against bias in machine learning? What governance is enough to satisfy regulators? As these technologies branch into everything from anti-fraud to trading strategies, the need for clear, actionable guidance is rising by the day.

The upshot: AI is a potent tool, but regulatory clarity and robust compliance are pivotal for future adoption. The financial sector won’t fully unlock AI’s potential until laws and best practices catch up with the speed of innovation.

To read the full Chapter 14 from GLI – Blockchain & Cryptocurrency Regulation 2021, please click here.