Why central banks must quickly but conscientiously reckon with AI
- While artificial intelligence offers benefits to global finance, challenges such as cybersecurity and data biases must be confronted
One clue to the enormity of AI’s impact comes from the McKinsey Global Institute, which estimates that the technology could add as much as US$340 billion in value annually to the global banking sector, or 4.7 per cent of total industry revenues, largely through increased productivity. Already, 70 per cent of financial services firms surveyed worldwide use AI to enhance cash-flow predictions and improve liquidity management.
Futurist Ray Kurzweil predicts that by the time a child born today is in kindergarten, AI “will probably have surpassed humans at all cognitive tasks, from science to creativity”. According to the BIS, these capabilities “can be harnessed by central banks in pursuit of their policy objectives, potentially transforming key areas of their operations”.
Yet, the uncharted path ahead will be enormously challenging for central banks, with multiple risks such as inflation, the BIS report warns.
AI can give banks better tools to foresee risks with greater precision and discern undercurrents that could precipitate a recession. They can be better financial detectives in spotting fraud, finding the needle in the haystack. Bank operations, such as adjusting the money supply by buying or selling securities in the open market, might be more efficient.
Central banks must get it right. As is the case in the early stages of new technologies, figuring out how to jump in without squandering limited resources can lead to mistakes, false starts and the inevitable confusion that comes with unpredictable change. Meanwhile, the pressure of keeping current is mounting. Central banks must clearly set their vision for ways in which AI can serve their critical roles in maintaining financial stability through monetary policy, guarding against fraud through oversight and serving as a lender of last resort in crises.
However, central banks tend to be risk-averse and slow to adapt, tightly embracing stability as a foundation of trust and confidence. Their quandary is aptly summarised by Winston Churchill, former prime minister of the United Kingdom: “Without tradition, art is a flock of sheep without a shepherd. Without innovation, it is a corpse.”
Embedded bias is another challenge. Data is the backbone of AI. Incomplete historical data that under-represents or over-represents certain populations as well as human errors and hardware limitations could lead to decisions by algorithms that are discriminatory, unfair and unequal. Some groups could be denied access to credit and disparities within society could deepen, the BIS warns.
James David Spellman is principal of Strategic Communications LLC, a consulting firm based in Washington, DC