How To Build a Company Wide Policy for Generative AI (ChatGPT)
ChatGPT can be a game-changer for businesses, but it also comes with risks. Recently, Samsung Software Engineers were fired for inputting sensitive code into ChatGPT. This happened because of a lack of clearly defined AI policies. To avoid such incidents, it’s important for companies to have a set of guidelines and rules that dictate how AI is used internally in their organization. This is especially important for generative AI like ChatGPT and Mid journey, which are new technologies that employees can access externally.
A clear and comprehensive AI policy can help businesses reap the benefits of AI while mitigating its risks and challenges. It can help them avoid legal and ethical issues, protect their reputation, and build trust with customers and stakeholders. It can also ensure that AI is used to enhance human capabilities, not replace them.
Components of a Comprehensive AI Policy
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Technology Policy
As a business, it’s important to establish clear policies for how and where Generative AI model are hosted. One of the first decisions you’ll need to make is whether these models will be hosted externally, like using ChatGPT from openAI, or internally. This choice has significant implications for security and usage. Another important factor to consider is how users will interact with generative AI. Will they have direct access to ChatGPT, or will you provide a custom user interface for your employees that acts as a proxy to the AI model? By defining these policies upfront, you can ensure that your generative AI is used safely and effectively within your organization.
Sensitive & Confidential Data Usage
Your employees, by the nature of their work, have access to sensitive data, which could include patient health records in a healthcare firm or personal information of insured individuals in an insurance firm. In light of the increasing use of Generative AI, it is crucial to establish clear policies regarding the usage of such data. This will ensure that your organization adheres to the currently acceptable usage by law and industry standards.
By specifying which datasets is allowed to be inputted to Generative AI, you can protect your organization from potential legal and ethical issues that may arise from unauthorized access or misuse of confidential data. Additionally, having such policies in place can help build trust with your clients and stakeholders, as they will have confidence in your commitment to protecting their sensitive information.
Data Retention
It’s important to establish policies for the storage of generative AI results. First, you need to decide if this data should even be stored, especially if it contains sensitive information. If it does, then it’s crucial to define the duration of time it will be stored and how it will be stored. These policies should align with your company’s existing compliance technology standards (such as SOC1 or SOC2) and ensuring sensitive data, such as PHI and PII, is thoroughly protected. By establishing clear policies for the storage of generative AI data, businesses can ensure that they are protecting sensitive information and complying with industry regulations.
Acceptable Usage
As businesses continue to integrate AI into their operations, it’s important to establish policies that govern its usage. While many organizations already have guidelines in place for IT and computer usage, there are additional considerations to keep in mind when it comes to AI. For example, there may be certain tasks that a company does not want AI to generate, such as personalized letters or performing critical data analysis. It’s also important to address the potential use of AI for personal reasons or for purposes not explicitly outlined by the organization.
By establishing clear policies for AI usage, businesses can ensure that the technology is being used in a way that aligns with their values and goals. This can help to mitigate any potential risks or negative impacts that may arise from AI usage, while also maximizing its potential benefits. Having a usage policy in place for AI is essential for any organization that wants to leverage this technology effectively and responsibly.
Monitoring & Analytics
Establishing a data monitoring system will help ensure that generative AI usage is in compliance with policies and regulations. Without proper monitoring, your organization may be exposed to potential liabilities that could harm your reputation and bottom line. It’s also essential to inform employees about what information will be recorded and monitored to protect their privacy as well.
Analytics around generative AI is also a critical component of effective generative AI usage. By measuring and iterating on usage patterns, you can identify areas for improvement and optimize the effectiveness of these tools. This may require changes to prompts, usage patterns, and policies, which should be updated periodically.
To maximize the potential of generative AI, it’s important to treat it with the same importance as other products in your organization. This means dedicating product and engineering resources to ensure safe and effective usage.
We Can Help
Building an AI policy for emerging technology , like ChatGPT, can be a daunting task for businesses. While innovation is crucial, companies also want to also avoid risks associated with innovating too quickly.
Fortunately, Genius AI can provide assistance in establishing an analytics system for monitoring and development. Our SAAS solution- AppGenius is designed to cater to your analytics and monitoring requirements, while also streamlining the implementation of generative AI throughout your organization. To learn more about our services, visit us at geniusai.co
