It will become pivotal for industry resilience , helping to mitigate evolving risks and reduce issues such as identity theft , false claims and staged accidents . However , Marat cautions : “ All successful AI use cases within insurance rely on training data , and it ’ s crucial the technology isn ’ t fed data with underlying biases that could harm customers . Tackling this issue head-on requires a greater focus on social responsibility and ensuring AI models are trained for fairness by continuously evaluating and scrutinising their performance .”
Enhancing customer experience Customer expectations have transformed
144 September 2024