Skip to content
Contact Us

Building Data and AI Ethics Committees

Organizations face a difficult challenge when it comes to ethically-informed data collection, sharing, and use. On the one hand, there is increased sensitivity to ethical issues and desire for responsible stewardship of people’s information, both internal and external to organizations. On the other hand, outside of mere legal compliance, there is very little guidance for organizations about what being ethically responsible involves, let alone how to incorporate ethical consideration into product and service design, particularly at scale. Even among organizations that have adopted institutional value statements for data/AI ethics platforms, there has been limited success translating those statements to organizational practices, decision-making, and products.

Read more.

More Stories

Image depicts brook trout swimming.

Trojan trout: could turning an invasive fish into a ‘super-male’ save a native species?


Why it’s so damn hard to make AI fair and unbiased

Northeastern logo

Google Docs’ AI-powered inclusive writing auto-correct now under fire