Data Ethics - investing wisely in data at scale
September 2016
David Robinson and Miranda Bogen at Upturn have mapped ways in which “data at scale” may pose risks to beneficiaries and funders. (By “data at scale,” they mean collecting, storing, analysing or using digital information in ways that have recently become possible.)
They found that grantmakers didn’t know enough about the benefits and risks of using data because of: the rapid growth in the use of technology; grantmakers and beneficiaries’ lack of data science expertise; limited training and resources; and a lack of clear guidelines for tackling new risks.
They identify three main challenges in data-oriented grantmaking:
1. The collection and use of data from the public sector isn’t carefully regulated, meaning that such data can now be used in a growing variety of potentially harmful ways.
2. Although there are many benefits related to the use of data at scale in decision-making, the use of automation may also risk reinforcing longstanding social biases.
3. Expertise for using data at scale is concentrated in certain large companies and government organisations. The nonprofit sector and academic researchers need to be prepared to harness these powerful new methods and shape how they are used across society by investing in training and fostering expertise.
They suggest that major foundations have a unique role to play in shaping norms around how this data is treated, and include a set of key questions for program staff and grantees to consider in data-intensive work. Finally, they recommend that funders incorporate data ethics in the grantmaking process and create data ethics checklists for grantees and program staff. For an report with similar themes based on research conducted in 2013-14, see this link.









