MIT Management Sloan School: A framework for assessing AI risk
How AI Risk is looked at is an area that is only just emerging but the importance of it cannot be understated.
How AI Risk is looked at is an area that is only just emerging but the importance of it cannot be understated.
Cloud, Cyber and AI related jobs are the most in demand.
ESG, KYC and AML are listed as some of the most popular generative AI use cases.
Thomson Reuters making a massive commitment to upskilling their workforce to take advantage of Generative AI.
AI and copyrighted data facing new regulation to try and clarify this area.
Banks of the future will use AI to influence financial decisions.
The legal pitfalls in Generative AI are still emerging.
As in everything in financial services (and life) it is all about the data and a lot of institutions have still not got it right (or even near).
Banks are still hiring in strategic areas.
One of the big issues to be resolved with Generative AI is alleged copyright infringement.
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