Senior banking risk leaders argue that artificial intelligence will transform risk management, but human judgment remains essential. As geopolitical uncertainty, regulatory scrutiny, and technological disruption intensify, risk functions must balance inno
The next frontier of risk management
will not be defined by artificial intelligence alone, but by how effectively
human judgment, governance, and technology work together.
That was the central conclusion
emerging from a discussion among senior chief risk officers who argued that
risk professionals must play a leading role in shaping AI adoption rather than
standing on the sidelines as the technology evolves.
Speaking during a panel discussion at
CeFPro’s Risk Evolve conference, risk leaders from major international banks
explored how artificial intelligence, geopolitical uncertainty, regulation, and
human expertise are reshaping the future architecture of risk management.
Setting the scene, moderator David
Hough warned that financial institutions are operating in an environment unlike
any seen before.
He argued that organizations are
facing multiple simultaneous shocks, from geopolitical instability to
technological disruption, while many existing models remain calibrated to
assumptions that may no longer hold true.
“Our models that we love to use are
all calibrated on a world where we assume certain things that are fixed,” he
said. “And one of those things is political stability in the West.”
He cautioned that in such conditions
models may not simply underperform, but could actively mislead decision-makers.
The discussion quickly turned to
artificial intelligence and whether the technology represents a
transformational shift or merely another tool in the risk management arsenal.
The Chief Risk Officer of a major
French international banking group argued that uncertainty itself should shape
how organizations think about AI. “No one has the true answer,” he said.
Rather than assuming a single
outcome, institutions should assess a range of scenarios, from modest
productivity improvements to complete disruption of business models.
He noted that some commentators even
envision a future in which traditional concepts of work and money become
largely irrelevant.
A former Chief Risk Officer at a
major Middle Eastern banking group’s UK operation struck a more pragmatic tone.
While optimistic about AI’s potential, he emphasized the importance of
maintaining healthy skepticism.
“I certainly believe in the
benefits,” he said. “But as anybody that's in the risk department should know,
is that we all have a decent and healthy amount of paranoia and cynicism.”
He argued that risk managers have a
critical role in ensuring that innovation does not come at the expense of sound
governance and controls.
The UK Chief Risk Officer of a major
Irish banking group suggested that organizations must resist the temptation to
remove capabilities too quickly in pursuit of efficiency gains.
“I don't want us to be taking out
capabilities before we really know that AI has matched the capabilities that we
have,” he said.
While acknowledging AI's ability to
improve efficiency and generate new insights, he stressed the importance of
understanding broader societal impacts and ensuring that institutions adapt
responsibly.
The Group Chief Risk Officer of a
leading Middle Eastern universal bank highlighted another dimension of the
debate. For her, AI's value extends beyond operational efficiency.
“How do we raise the bar on what we
are entrusted to do in risk management?” she asked. She suggested that AI has
the potential not only to improve existing processes but also to expand the
mandate and capabilities of risk functions.
