"In brief
- Organizations face a difficult challenge when it comes to ethically-informed data collection, sharing and use.
- There is growing demand for incorporating ethical considerations into products and services involving big data, AI and machine learning.
- Outside of mere legal compliance, there is little guidance on how to incorporate this ethical consideration.
- To fill this gap, Northeastern University and Accenture explore the development of effective and well-functioning data and AI ethics committees."