As the leading credit rating agencies begin to heavily invest in the adoption of artificial intelligence, historic systemic failures serve as a reminder of the effect of mis-regulation and misdiagnosis in the credit rating world. As the industry turns towards technologies that can massively enhance the speed, efficiency, but also the temptation to transgress within the credit rating world, there are critical questions that need to be asked to shape the response that will be needed. For regulators and policymakers, the multivariant threat that the adoption of artificial intelligence within the credit rating world poses will require an extensive but nuanced response to counter it. This book presents these issues, reveals intricate implications, and provides for a considered response that regulators and policymakers should consider.

As the leading credit rating agencies begin to heavily invest in the adoption of artificial intelligence, historic systemic failures serve as a reminder of the effect of mis-regulation and misdiagnosis in the credit rating world. As the industry turns towards technologies that can massively enhance the speed, efficiency, but also the temptation to transgress within the credit rating world, there are critical questions that need to be asked to shape the response that will be needed. For regulators and policymakers, the multivariant threat that the adoption of artificial intelligence within the credit rating world poses will require an extensive but nuanced response to counter it. This book presents these issues, reveals intricate implications, and provides for a considered response that regulators and policymakers should consider.