Julian Jacobs

ECONOMIST, OMFIF

The current voluntary commitments for AI safety are much like allowing car manufacturers to self-regulate, says AI governance expert Robert Trager.
THE BOTTOM LINE

National approaches to AI safety diverge in focus

Countries face competing incentives in the artificial intelligence race

US Securities and Exchange Commission chair Gary Gensler says: "It is likely that regulatory gaps have emerged and may grow significantly with the greater adoption of deep learning in finance."
THE BOTTOM LINE

Risks around AI and algorithmic convergence are causing ‘regulatory gaps’

Policymakers have fighting chance to curb rate of AI’s market impact

There is currently no evidence to suggest that the economics of AI are substantively different from those of previous technologies. AI marks an extension of existing trends in digitalisation – present since the 1980s – as opposed to something entirely distinct.

The macroeconomics of artificial intelligence

Policymakers should take lessons from history to curtail risk

Public attention should now be on debating the policy actions and choices that can best help America’s most vulnerable deal with the impact of a slowing economy and rising inflation.

US recession debate misses the point

Key questions facing policymakers are about how to fortify a slowing economy