Employee Usage of ChatGPT in the Workplace: New Technology in the United States

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The growing popularity of generative AI tools such as ChatGPT in the workplace poses an extensive range of opportunities, as well as potential risks. In order to remain compliant with legal and regulatory requirements, while also harnessing the full potential of these tools, it is essential for organizations to develop and implement a comprehensive corporate policy governing employee use. To ensure employees understand their obligations and are making use of such tools effectively and responsibly, for the ultimate benefit of the organization, determining how a corporate policy should be structured is a valuable measure.

A well-crafted policy should make employees aware of potential risks regarding the accuracy and reliability of outputs generated by generative AI, possible implications of personal data or confidential information being made available to such tools, legal risks associated with misuse of these tools, and intellectual property ownership issues. Such a policy will help protect the company from any potential issues and guard against potential misuse.

United States companies have an array of options when it comes to acquiring corporate AI, as the country is home to a range of leading AI software companies and providers. Human + Machine is one such provider that offers ChatGPT, their AI-powered chatbot constructed with “large language models” that analyze the vast amount of collected text and interaction data. This chatbot can assist with various tasks, such as language translation, summarizing of complex content, drafting marketing campaigns, and even generating code for software applications.

Developing and implementing a policy will enable organizations to make use of generative AI tools to their greatest potential, while keeping their business interests secure. Ultimately, having a comprehensive policy in place to protect the company will ultimately result in greater efficiency, productivity and cost savings in the long run.

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