For marketers, generative AI has emerged as a crucial tool for content generation. Although playing with the tool and seeing how quickly it can produce seemingly intelligent outputs is entertaining, responsible use of the technology is crucial.
However, how can we set boundaries and encourage artistic experimentation at the same time?
As cliché as it may sound, the solution is to draft a thorough generative AI policy.
Here are five doable measures to take into account when drafting such a policy and how to use it successfully throughout the company.
Describe important terminology
Don’t presume that everyone understands the jargon of generative AI. Employee miscommunication and divergent definitions are eliminated when there is agreement on a common language.
Input, output, generative AI, generative AI tool, and generative AI-assisted content are important terms. and the list goes on. These definitions will need to be updated and expanded upon throughout time in light of the changing environment.
Establish an unambiguous list of dos and don’ts
The greatest way to simplify difficult ethical concepts is to compile a useful list of appropriate conduct.
Though it is the cornerstone of the generative AI policy, this list is frequently presented as an appendix.
Employees can respect intellectual property rights pertaining to text, images, sound, and video that they obtain from third parties by adhering to a set of dos and don’ts.
As an illustration:
Don’t include proprietary, sensitive, or confidential information about your business or your clients in the training data or input.
Never utilize input or prompts to copy previously completed work.
Don’t provide any personally identifiable information.
Don’t use any generative AI technology without consulting a human.
Make sure you maintain thorough records of all the inputs, outputs, licenses, and rights for your data.
Be upfront about the fact that a piece of content was produced by a generative AI tool.
Express agreement regarding the usage of tools
It is crucial to specify precisely which tools are authorized for use across the entire organization and to let every employee know about this.
Some businesses choose not to offer their general clearance for the use of generative AI tools. When a member of the team wishes to utilize a tool, the steering committee or clearance process is consulted. This is a cumbersome and slow process.
You don’t want to discourage experimentation and creative thinking. It is preferable to promote play, but only within well-established moral and legal bounds.
If you decide to use the green-listing method, provide brief justifications for each tool’s approval or disapproval. For instance, “We would not own any of the inputs or outputs, which is why this tool is on the red list.” Alternatively, “This tool lacks terms and conditions, which is why it is on the red list.”
Clearly state your ethical principles
Since generative AI tools are still in their infancy, there are legitimate questions concerning the methods by which they are employed and educated. Your policy should make the company’s moral compass very apparent.
As an illustration:
Don’t utilize the output to produce deceptive, false, unfair, or damaging content.
Choose and employ inputs that steer clear of dangerous, offensive, and discriminating information.
Observe privacy laws and defend people’s rights.
Define supervision and management
Indicate who in the company will be in charge of managing your generative AI green list and the implementation of authorized tools, who will be in charge of examining prospective new and upcoming features and tools, and who will be in charge of responding to incident reports and legal inquiries. Share this information broadly and concisely.
To get you started, these are just five of the fundamentals. However, keep in mind that your policy is a living document. Since generative AI is a dynamic field, the policy will also need to adapt, requiring regular evaluations and revisions.
Everyone in the team should receive training on the policy and have access to it via a corporate site as soon as it’s ready. Training should pay special attention to any green and red lists as well as the dos and don’ts.
Not to mention, always be receptive to input from your teams. Your generative AI policy will benefit from a variety of perspectives, just as a training set for generative AI must have a wide range of sources in order to be effective.