In the second of our three-part Technology & Privacy Law in the Workplace series we will be highlighting the benefits, risks and recommendations when it comes to incorporating generative artificial intelligence ("generative AI") into the workplace.
Generative AI describes algorithms, such as ChatGPT, that can be used to create new content. Although generative AI has been around for many years, (most of us still remember Microsoft's Clippy), recent breakthroughs in this technology have begun paving the way to drastically change how businesses operate. However, this has not been without a few sharp learning curves. In recent claims regarding the misuse of generative AI, courts and tribunals are holding companies, and individuals, accountable for information provided by their agents, even if those agents are chatbots (an automated system providing responses to a person's prompts and input ), or other forms of generative AI.
As more and more AI-related cases make their way through the court system, courts across
However, in technology's fast-paced and ever-changing landscape, generative AI also provides effective and efficient business solutions and is quickly paving the way as an invaluable resource for many companies. Whether used for content generating purposes for presentations or articles, searching capabilities, the ability to swiftly summarize emails, cases or transcripts, or even as a virtual assistant, the benefits of generative AI appear (almost) infinite. The key to the successful incorporation of generative AI is to recognize the benefits, and limitations, of such machine learning.
If you are considering incorporating generative AI in your workplace, you are not alone, it is estimated that generative AI will become a
- The first step is to consider what the organization's objective is when it comes to using generative AI: will it be used only internally, or externally as well? Consider what the driving force is in wanting to incorporate generative AI and what areas of the business it will be incorporated in first.
- Next, you will need to consider the risks associated with each and every use of generative AI. For example, there may be less risk in using generative AI to create a brief internal presentation than there is in using it to generate a contract for a client. Don't forget to consider privacy risks associated with inputting information into generative AI.
- Once you have considered each and every use of generative AI and the associated risks, you then need to set parameters for such use. Some examples include restrictions on client information being entered into the generative AI, having every output vetted and fact checked before is it relied on, having management approval for every piece of generative AI content, stamping work products with the disclaimer that it was produced with the use of generative AI.
- Once you have considered all the uses, risks and parameters of generative AI in the workplace, create a clear and concise policy setting it all out. A clear policy is the first step to ensuring that all employees are aware of their responsibilities and obligations when it comes to using generative AI.
The content of this article is intended to provide a general guide to the subject matter. Specialist advice should be sought about your specific circumstances.
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