![]() Company email addresses, credentials or phone numbers be used to create an account with these technologies. ![]() The use of generative AI chatbots will largely be allowed while performing work for. Failing to properly cite an AI chatbot when used as a resource.Copying and pasting, typing, or in any way submitting company content or data of any kind into the AI chatbot.Using any text created by an AI chatbot in final work products of any kind.Only content written by employees may be included in a final product. To summarize online research or to create outlines for content projects to assist in full coverage of a topic.To develop or debug code, to be verified before deployment.To create formulas for Excel spreadsheets or similar programs.To brainstorm ideas related to projects you are working on.For general-knowledge questions meant to enhance your understanding on a work-related topic.If a reliable source cannot be found to verify factual information generated by the chatbot, that information cannot be used for work purposes. Managers must approve or deny requests within days.Īll AI-generated content must be reviewed for accuracy before relying on it for work purposes. No company data of any kind may be submitted (copied, typed, etc.) into these platforms.Įmployees wishing to use generative AI chatbots must inform their how the chatbot will be used. Limited use of generative AI chatbots will be allowed while performing work for with the approval of your. Company email addresses, credentials or phone numbers cannot be used to create an account with these technologies, and no company data of any kind may be submitted (copied, typed, etc.) into these platforms.Īny violation of this policy will result in disciplinary action, up to and including termination. This policy applies to all employees of and to all work associated with that those employees perform, whether on or off company premises.ĭue to the risks described above, all use of generative AI chatbots while performing work for is prohibited. Additionally, the accuracy of the content created by these technologies cannot be relied upon, as the information may be outdated, misleading or-in some cases-fabricated. There are, however, risks in using this technology, including uncertainty about who owns the AI-created content and security/privacy concerns with inputting proprietary company information or sensitive information about an employee, client, customer, etc., when interacting with the chatbot. Outlines or summaries of internal or external information.Blog posts, reports and other publications.Some examples of what could be created using an AI chatbot include: While AI chatbots can be used to perform a variety of functions, this policy addresses only the use of a web-based interface to ask or "prompt" the chatbot in a conversational manner to find answers to questions or to create or edit written content. Our goal is to protect employees, clients, suppliers, customers and the company from harm. While we remain committed to adopting new technologies to aid our mission when possible, we also understand the risks and limitations of generative AI chatbots and want to ensure responsible use. In addition, you’ll learn two key principles for writing effective prompts, how to systematically engineer good prompts, and also learn to build a custom chatbot.With the increasing popularity of generative AI chatbots such as OpenAI's ChatGPT and Google's Bard, it has become necessary to outline the proper use of such tools while working at. Expanding (e.g., automatically writing emails).Transforming text (e.g., translation, spelling & grammar correction).Inferring (e.g., sentiment classification, topic extraction).Summarizing (e.g., summarizing user reviews for brevity).This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including: Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply impossible before now. In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.
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