Making AI Content More Inclusive: Tools, Training & Human Checks
AI doesn’t “mean” to offend—it just mirrors the data it’s fed. But you can take steps to ensure it mirrors your brand values instead.
1. Train AI on Culturally Diverse Datasets
If you’re using custom AI models, feed them content that reflects the diversity of your target audience. This includes language styles, idioms, and real-world experiences. Startups like Writer.com offer custom language models that reflect brand tone and values, including inclusivity.
2. Use Inclusive Design Tools
- Huemint: Generates brand palettes with diverse cultural aesthetics.
- OpenAI’s Moderation API: Helps detect unsafe or biased outputs before they go live.
- Textio: Detects biased language in job postings and content drafts.
3. Bring in Human Reviewers
Even the smartest AI needs a human touch. For campaigns aimed at culturally sensitive topics (race, gender, sexuality, etc.), include diversity reviewers in your content workflow.
Continue reading…In the final section, we’ll explore future trends, from hyperlocal AI models to potential regulation on culturally biased content.
