Review your content’s performance and reach.
Become your target audience’s go-to resource for today’s hottest topics.
Understand your clients’ strategies and the most pressing issues they are facing.
Keep a step ahead of your key competitors and benchmark against them.
add to folder:
Find out more about Lexology or get in touch by visiting our About page.
Generative Artificial Intelligence (AI) utilises machine learning algorithms that learn from data to generate a human-like output. Large language models have the potential to assist insurers as information can be provided for it to grasp, summarise, analyse, translate and create an output, based upon the instructions and data set it is given.
How can AI help insurers?
By analysing previous statistics, drawing on relevant points and predicting future risks, the efficiency of risk research may be furthered, assisting underwriters to make more informed decisions. The technology also has the potential to support with client communications, by being programmed to respond to general queries. This may allow for conversations surrounding claims, policies and other matters to be dealt with by the model. With the ability to draft documentation too, AI has the potential to reduce the amount of time spent on administrative tasks by employees, allowing them to focus on more complex tasks.
However, AI also poses a number of risks and challenges, including:
Use of AI by insureds
In addition to the use of AI by underwriters, AI is increasingly used by insureds. Whilst such use may assist an insured’s business, there are additional risks that may not have been fully contemplated by underwriters. For example, as data is inputted into an AI system, privacy, data protection and intellectual property issues may arise where permission to use the data has not been provided or inputted data can be accessed by third parties. In addition, claims for fraud and reputational matters may arise due to AI’s ability to create realistic documentation and images. It should also be borne in mind that AI’s output can be incorrect, as a recent case has highlighted where US lawyers used AI to create court submissions, but failed to spot that the AI included reference to fictitious cases!
As use of these models is on the rise (by both insurers and their insureds), insurers should consider the potential impact from both an internal and external perspective. In previous editions of The Word, we have considered risks and opportunities for insurers that are arising from the AI product boom. To hear further discussion of these issues, take a listen to our partner, Tim Johnson’s, interview for the Insuring Cyber podcast.
add to folder:
If you would like to learn how Lexology can drive your content marketing strategy forward, please email [email protected].
© Copyright 2006 – 2023 Law Business Research
Leave a Reply
You must be logged in to post a comment.