Regulatory Uncertainty Hinders AI Innovation

Firms are reluctant to move ahead with AI technologies as there is little regulatory guidance on its ethical implications, exchange providers say.

Artificial intelligence

A lack of regulatory certainty around the ethical implications of black box artificial intelligence (AI) is holding back innovation at financial firms and market infrastructure providers, exchange providers said yesterday.

Firms are nervous about implementing any technology or strategies that could clash with social policy, said John Pigott, founder and CEO of ABE Global, a security token exchange that was launched this year.

There are few ethical concerns surrounding the use of algorithmic

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FCA declines to directly regulate market data prices

A year-long investigation by the UK regulator to determine whether competition is hindered in the wholesale data markets has concluded with its decision not to directly regulate much-maligned data pricing and licensing structures.

How GenAI could improve T+1 settlement

As well as reducing settlement failures, researchers believe generative AI can provide investment managers with improved research, prioritization, and allocation resources.

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