As humans, we are biased
A little background information on how bias in AI occurs. I asked ChatGPT to tell us more about the topic, as I am obviously no specialist in setting up an LLM (Large Language Model) myself.
This is what it answered:
“Bias in AI content can occur in a number of ways, but it typically stems from biases in the data used to train AI models. Here are a few examples:
Now that you know how bias in AI arises, it should be ‘rather easy’ to come up with solutions to prevent the occurrence of bias. The main topic is ensuring diversity in training samples, such as audio samples from diverse backgrounds or genders, but there are of course more things you can do (during the training phase).
However, as copywriters, you often don’t influence those. But what you do influence, are prompts and use of output. Let’s put that statement into practice.
My team of copywriters and I asked ChatGPT multiple questions. A while ago, ChatGPT gave rather biased answers (on a positive note: we did receive a disclaimer that the copy could be in violation of the content policy). We’ve noticed that since then, the tool is becoming less and less biased, as its makers of course receive feedback regularly – also about this topic.