• Identify existing infrastructure that a data and AI ethics program can leverage. 
• Create a data and AI ethical risk framework that is tailored to your industry.
• Change how you think about ethics by taking cues from the successes in health care. Leaders should take inspiration from health care, an industry that has been systematically focused on ethical risk mitigation since at least the 1970s.
• Optimize guidance and tools for product managers. 
• Build organizational awareness.
• Formally and informally incentivize employees to play a role in identifying AI ethical risks.
• Monitor impacts and engage stakeholders.

Companies are leveraging data and artificial intelligence to create scalable solutions — but they’re also scaling their reputational, regulatory, and legal risks. 

• Los Angeles is suing IBM for allegedly misappropriating data it collected with its ubiquitous weather app.