Ethical use of large language models in an organization
In this fast-paced world, it is important to understand that using large language models in organizations comes with both positive and negative impacts. On the one hand, the positive effects of large language models depict useful improvements in the office workspace but on the other hand, the negative effects of large language models can act as a medium in which dangerous events could occur in an organization. Hence it is important to be aware of them and it is necessary to implement policies that emphasise the responsible and ethical use of large language models in an organisation.
A few of the policies that play a crucial role in setting norms on the ethical and responsible use of large language models in an organization are as follows:
a. It is important to protect the organization's and user's private data. The reason is that it could affect the confidentiality of an organization as the large language models utilize the data inputted by the organization to improve their data resources.
b. It is important to provide awareness among the individuals in the organization to make them understand that they are having a conversation or they are interacting with a large language model and make them realize that sharing data that is sensitive is dangerous. Hence having transparency among the individuals and making them aware of the situation is important.
c. Keeping in view the consent, there must be a clear understanding among the users and proper consent must be taken before taking any kind or form of personal information and using it to interact with the large language models.
d. Providing the users with the control to select what kind of data they want to share with the large language models by placing an opt-in or opt-out button will prevent the users from providing or sharing all kinds of data with the large language models.
e. Forming a team in an organization that will further be responsible for the governance over the use of language models is essential. Placing them for monitoring compliance with the proper use of the language models.
f. Continuous audits and reviews on the use of large language models and checking whether the LLMs have the right ethical standards in place. If there are any possible areas of improvement then necessary steps should be taken.
Hence, these are a few of the best practices that an organization could place, to prevent any threat related to large language models. These practices will eventually improve the overall security posture of the organization.
