Our company wants to launch a feature that generates marketing copy, but we are worried about copyright and bias. What are the current legal standards for content produced by generative AI models? Are there ways to programmatically check for plagiarized content or biased outputs before they are shown to our customers to ensure we remain compliant and ethical?
3 answers
The legal landscape for generative AI models is still a "Wild West," but the general consensus is that AI-generated content cannot be copyrighted in many jurisdictions. To mitigate risk, you should implement a "human-in-the-loop" system where an editor reviews the output. For bias, you can use evaluation frameworks like "Fairlearn" or "AIF360." Additionally, always use models that have been trained on licensed data if you are worried about intellectual property. Some providers now offer "indemnity" to enterprise customers, protecting you from potential copyright lawsuits if the model produces infringing material.
Does your current testing suite include "red-teaming" where you intentionally try to make your generative AI models produce harmful or restricted content?
Transparency is key. Always label AI-generated content as such; it builds trust with your users and protects you from many ethical criticisms regarding generative AI models.
Laura's right. Disclosure is becoming a legal requirement in many regions anyway, so it's better to be ahead of the curve and maintain that customer trust.
Not yet, but we are planning a "jailbreak" session next week to see if we can trick the bot into giving legal advice, which is something we want to strictly avoid.