The AI Development CycleBefore starting any AI project, there are several actions your team can take to lay the groundwork for building an ethical AI product.
- Be aware of the regulations your end product must comply with. These vary by geography; the GDPR, for instance, covers AI development and application in the EU.
- Create an AI governance framework that reflects a responsible AI lens. Include guiding questions in this framework that help you address key points of consideration along the AI development lifecycle. Data governance, in particular, should be an area of focus given its significant impact on model performance.
- Recruit a diverse team of data scientists and researchers who can bring varied perspectives and experiences to AI development.