The emergence of artificial intelligence (AI) has opened up new opportunities for employers to enhance their workflow, streamline operations and improve customer experience. AI chatbots, such as ChatGPT, have become increasingly popular for their ability to produce human-like text and decision-making capabilities. However, there are certain risks that employers need to consider before incorporating AI technology into their business operations. In this article, we explore the risks associated with using AI in the insurance industry.
ChatGPT is a natural language chatbot that uses a natural language processing system to respond to user inputs. It can write articles, poems, songs, automate tasks, and converse with users. The technology is advancing rapidly, and it has the potential to change how employers run and structure their organizations. AI technology can enable employers to run more efficiently and economically by automating many tasks currently performed by employees. However, there are limitations and potential risks associated with AI chatbots that employers should consider.
One of the biggest risks of using AI chatbots is the possibility of errors and outdated information. AI’s knowledge is limited to the information used to train it, and the information provided may be low quality or outdated, or it may contain errors. Therefore, employers cannot be certain that the information produced by the AI technology is accurate, and errors can be costly, subjecting organizations to liability, government audits, fines, and penalties.
Another risk associated with AI chatbots is privacy concerns. Employees may share proprietary, confidential, or trade secret information with ChatGPT, which could become part of its database and included in responses to other parties’ prompts. Additionally, chatbots like ChatGPT are internet-based tools, so security can never be guaranteed. Employers should consider reviewing and updating their confidentiality and trade secret policies to ensure they cover third-party AI tools.
AI-generated content can potentially violate intellectual property (IP) infringement laws. If the chatbot generates content similar to existing copyrighted or trademarked material, the organization using that content could be held liable for infringement. Organizations can train employees on potential copyright, trademark, and IP infringement issues or restrict access to AI tools to reduce legal risks.
Cybersecurity concerns are another risk associated with AI chatbots. Technology like ChatGPT is likely to be embraced by cybercriminals, particularly those who are not native English speakers, to carry out social engineering attacks. Given the potential cybersecurity risks posed by this AI technology, employers should be diligent in updating and maintaining their data security measures and train employees to follow cybersecurity best practices.
Finally, there is the issue of inherent bias. The information provided by AI chatbots is dependent upon the information from which it was trained, and the humans who decided what information the chatbot received. This could potentially lead to inherent bias issues, and if an organization consults an AI chatbot regarding employment decisions, this bias could potentially lead to claims of discrimination.
In conclusion, AI chatbots have the potential to revolutionize the insurance industry, but they also come with certain risks. Employers should be aware of these risks and take steps to mitigate them. This includes verifying the information produced by AI tools, reviewing and updating confidentiality and trade secret policies, training employees on potential legal risks, maintaining data security measures, and being mindful of inherent bias issues. By taking these steps, organizations can safely and effectively incorporate AI technology into their operations.
