What codes inform our work with digital data?

This is the second of a three-part series on the ethics of data in civil society, leading up the Stanford Conference on September 15-16.

Ethical codes abound - here's a list of just a few of them with relevance to how nonprofit organizations or private action for the public benefit.

Asilomar Convention: Ethical decision making in higher education research

A manifesto for the future of the 'right to be forgotten' debate

The Consumer Privacy Bill of Rights (USA)

Compendium of Ethics and Standards for Nonprofits

The Data Bill of Rights

(A longer, but still not comprehensive, list of examples can be found here)

What, if anything, is different about digital data that requires us to rethink our work in civil society? Here are some characteristics of digital data that may require new ethical choices. 
  • Digital data can be collected passively, without knowledge or consent of those from whom the data are collected.
  • Digital data enable the application of predictive analytics the accuracy or validity of which are still unknown.  
  • Digital data can be stored remotely, and for unknown lengths of time, by third parties who have collected the data or purchased the information.
  • Digital data alter the time frame for our actions. For example, real-time satellite imagery lets us adjust our interventions with information never before available. Alternatively, stored data collected from a person today may be used to define actions on behalf of or against that person's children or grandchildren. It can both shorten and lengthen the relevant time frame.
Several scholars have written about ethical provocations of big data, the need for ethics related to big data, and the need for legal due process where big data, algorithmic predictions, or other software applications are concerned. Here are two resources by individuals participating in the Stanford conference.

Kate Crawford and Jason Schultz, Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harms.

Neil Richards and Jonathan King, Big Data Ethics 

Why "ethics" of digital data?

This is the first of three posts leading up to the Ethics of Data Conference at Stanford. I've posted some earlier thoughts here.

In early August, the New York Times ran a "Room for Debate" series about big data. Over the course of a week columns noting the dangers of digital data use ran next to columns extolling the utility of digital data for community improvement. Other columns in the series, which was titled "Is Big Data Spreading Inequality," looked at how data may be used to extend credit to underserved communites, while others noted that data may be limiting job opportunities. One columnist called for due process related to digital data - an idea that has been studied and proposed by other legal scholars.

Clearly, there's a lot of good and bad that can be done with digital data. How we use it, what bounds we put on its use, what rights we protect regarding its use - these are classic ethical questions now being brought to the forefront where large sets of digital data are concerned.

On September 15 the Federal Trade Commission is hosting a conference in DC on "Big Data: A Tool for Inclusion or Exclusion?" which will focus on how consumers are affected by the uses of big data.

On September 15 and 16, Stanford Center on Philanthropy and Civil Society's Digital Civil Society Lab is hosting a conference on the Ethics of Data in Civil Society. We're focused on what the rise of digital data as a resource and digital infrastructure means for private actions with a public benefit.

The questions addressed in the New York Times series and those that the FTC is asking about discrimination certainly matter for civil society. Two key conceptual resources for the Stanford conference can be found here:

We'll be looking at:
  • How data are being used to frame the issues on which nonprofits and voluntary associations work and what civil society can do about it;
  • The realities of association and expression in a digital age and what these changes mean for civil society
  • How scholarship is changing in a digital environment; 
  • The rights of those being served by nonprofits and civil society;
  • Ethical dilemmas for civil society organizations using digital data and how to work through them; 
  • Ethical ways civil society and industry sources of digital data can work together 
Participants include activists, data companies, nonprofits, scholars, and funders. Conference resources are available here and we'll put post-conference materials there as well.

Cases for Discussion - data, ethics, and civil society

Last year when I wrote the Blueprint 2014 I included a few scenarios regarding nonprofits, foundations and the uses of digital data (see pages 22-23).

Now we're on the brink of hosting an entire conference on the Ethics of Data in Civil Society.

We're pulling together resources from the field and from scholars. I was thrilled when Jeff Raderstrong, now of Living Cities, sent me these Case Studies he and a colleague developed for classes at George Washington University.

We'll share these on the conference website (http://stanford.io/ethicsofdata) where you can also find a provocation piece written by Andrew Woods -  Keep checking there for more resources as they become available.

You can follow the conference planning and pre-conference discussions on Twitter at #EoD14.

Thanks for sharing, Jeff and Katlyn.

A new calculus for civil society

In the analog era, when you took action for social good the math was relatively straightforward;
                                 1 action = some result.

It might have been a 1:1 relationship: 1 donation = 1 meal.

It might have been more than that: 1 volunteer act = multiple additional donations = multiple benefits

It might have included a multiplier effect: Action sustained over time = new policies = multiple benefits

It might have backfired: 1 action = negative result

What it didn't have, and part of what makes digital action different, is a "digital differential."

Here's what I mean. In the digital environment, every action creates a digital trail - data, metadata or both. So if you click to like the ALS Ice Bucket challenge (for example, to be au courant) your click supports ALS research.  It also tells your friends you care about ALS (or that you are very much in the know), it also adds to the dataset of information about you that is being built by several enterprises and held in several places, and it also adds to the dataset of the ALS campaign.

Your single click becomes a digital data point with lots of potential other uses (marketing, donation solicitation, friendship building). One action = lots of derivative uses and interpretations, some by you, most by others.

This digital differential is true for all digital data. Our actions in digital space create an additional "resource" (data) that can be used in lots of ways. These digital differentials may be used for positive or negative actions. What happens with them is not inherent in the data, it will depend on what we do with the data and how we do it.

CrisisTextLine is a great example of this. It helps crisis counseling centers reach teens via text. In the analog age (last year) when this was done by phone, the math was straightforward:

ANALOG: 1 call = 1 teen helped.

Today, the math is different:

DIGITAL: 1 text message = 1 teen helped + a dataset of digital text messages (with more than 3 million records to-date).

This is one way (there are others) that digital changes the calculus of civil society.

What do you do with that dataset? How do you protect it and the rights of the people represented within it? CrisisTextLine hopes to make it useful to scholars and policymakers. You can see their work - and their ethical decisionmaking, struggles, and open questions about this here.* The upcoming Ethics of Data conference will look at these questions and many others in a broader civil society context. Some of the thinking on data philanthropy also addresses these issues.

*At the Digital Civil Society Lab at Stanford, we held a charrette around CTL's work - because their opportunities and challenges are all of ours, they're willing to share them publicly and ask for help, and we all stand to learn a great deal from what they are trying to do and how they are trying to do it.

The last 20 years and the next 20 years

I had a great conversation this morning with Sara Davis at the Hewlett Foundation. It led to these two napkin sketches of the past and the future of organizational structures - what do you think?*

The last 20 years in nonprofits and foundations:

The next 20 years in nonprofits and foundations
*The drawings are mine and should not implicate the Hewlett Foundation in any way.