AI writing tools can unintentionally introduce biases into generated content because they are trained on large datasets that may reflect societal stereotypes or imbalances. If the training data includes biased language or assumptions related to gender, race, age, or ability, the AI might reproduce those patterns in its output.

To reduce bias when using AI writing tools:

• Use inclusive and specific prompts. Avoid vague or stereotypical phrasing that can reinforce assumptions. For example, use "for them" instead of for him or "for her."
• Set clear tone and style guidelines. Defining what neutral, inclusive, and respectful language looks like helps guide the AI to match your goals.
• Review and refine outputs often. Watch for biased or exclusive phrasing and update your prompts or editing approach when needed.
• Include human review. People are better at spotting subtle or unintended bias and can help ensure the content feels fair and accurate.
• Choose tools with bias reduction features. Some AI models, like OpenAI’s GPT-4, are designed to reduce the chance of harmful or exclusionary content.