Microsoft has a good checklist to consider if you haven't seen it.

There are many publications on fairness nowadays so I'd also suggest reading some survey papers. Here are a few that have a good number of citations:

• Fairness in Machine Learning: A Survey (2020)
• Fairness in Machine Learning (2020)

I'm pretty sure there are many workshops and conferences on fairness in AI nowadays too that would be good for ideas. There are even ML toolkits to help detect or reduce bias these days, so those would be good to search for.

Hope this helps! Fairness has become a pretty big area over the last several years