Ethical AI isn't just philosophy — it's a set of concrete practices to embed into your development process.

Before Building

• Should this be built at all? What harms could it cause?
• Who is affected and were they consulted?
• Is there a less privacy-invasive approach?

During Development

• Audit training data for bias and representation
• Test model performance across demographic groups
• Document model cards — intended use, limitations, risks

Before Deployment

• Run an AI impact assessment
• Establish monitoring and feedback mechanisms
• Define escalation process for harms

After Deployment

• Monitor for drift and emergent harms
• Create accessible redress mechanisms

Reference:

Partnership on AI resources

https://www.partnershiponai.org/