The balance between AI innovation and data security and privacy is a major challenge for ML practitioners today. In this talk, I’ll discuss policy and ethical considerations that matter for those of us building ML and AI solutions, in particular around data security, and describe ways to make sure your work doesn’t create unnecessary risks for your organization. It is possible to create incredible advances in AI without risking breaches of sensitive data or damaging customer confidence, by using planning and thoughtful development strategies.