I, Robot: Governing intelligent systems

We examine how firms are translating principles into enforceable controls, and where governance may be slowing adoption or shaping competitive advantage

  • Defining and operationalising AI risk appetite
  • Embedding controls at design time, build time and run time
  • Trade-offs between speed, value and control
  • What regulators expect and where firms are over-engineering

PANEL DISCUSSION: Do Androids Dream of Electric Sheep? Synthetic data and autonomous agents

As AI begins to act on behalf of humans, we explore how customer models, distribution and control of the interface are fundamentally changing. Machine customers and synthetic users: who owns the relationship?

  • Rise of agent-mediated interactions and delegated decision-making
  • Whether banks retain or lose control of the customer interface
  • Detecting human versus machine behaviour in financial journeys
  • Implications for product design, distribution and monetisation

Foundation: A GlobalData perspective

  • What “inevitable” actually means in AI adoption
  • Separating signal from noise in vendor and internal claims
  • Where to place bets and where to hold back
  • Building institutions that can adapt, not just predict