The concept of responsible AI (RAI) has emerged as a response to the growing recognition of the ethical, social, and legal implications associated with the use of artificial intelligence technologies.
In the United States, there is a confusing array of state-level AI legislation and industry-level guidelines. To add to the confusion, the Trump administration has rescinded the Biden AI Executive Order and indicated a more hands-off approach to AI regulation at the federal level.
Despite this uncertain regulatory environment, insurers still need to implement responsible AI practices and governance frameworks to protect themselves and their customers from AI risks. But where do they start? What are the key considerations?
In this report, Celent presents a best practices framework for implementing RAI within the context of a rapidly evolving regulatory environment.
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As the financial services industry rapidly evolves, there is more complexity, with new regulations, startups, technologies, and applications to stay on top of and prioritize. Celent helps you connect this ever-changing puzzle. We offer objective advice and clarity, backed by a database of thousands of solutions and award-winning global best practice use cases. With real-life domain expertise, we also guide you through the maze of emerging tech in the pursuit of value.
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