Ethics and Data

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ETHICS & DATA Discussing, teaching, enacting

Transcript of Ethics and Data

Page 1: Ethics and Data

ETHICS & DATADiscussing, teaching, enacting

Page 2: Ethics and Data

The sheer amount of data we are generating is pretty insane

❖ Banks!

❖ Gyms!

❖ Student loans!

❖ Insurance companies!

❖ Health care providers!

❖ EZPass!

❖ T-Pass!

❖ Tech support calls!

❖ Public records - Birth, Marriage, Death, Sale of property, Legal proceedings!

❖ Public Surveillance Cameras!

❖ Future/Now: IoT, Wearables, DashboardCams, CopCams, Drones, Microlocation devices

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Data is the method of the powerful, who have resources to acquire, store and make sense of large quantities of data.

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Many data practices are closed, extractive and centralized

individuals communities

Corporate Databases, Data Brokers, Government, INGOs

NSA

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Open Data Movement - hope for more widely distributed access to data and know-how

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CHALLENGES FOR OPEN DATA

• Most corporate data & government data still not open. Many “accountability” data sets notably missing from open data. (Open Data Barometer report)

• Data that you need doesn’t exist because it’s not in anyone’s interest to collect it (police killings)

• Anonymized and aggregated data can be rematched to create personally identifiable information (AOL incident, Science/MIT Media Lab research, NYC Taxis and Celebrities)

• Risk of data retained forever - not sensitive now but could be sensitive in future.

• Data literacy gap to translate data into civic practices.

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Often, just opening data is not enough. We see troubling cases of possible misuse of data.

❖ Target teenage pregnancy - Should corporate practices be able to bypass HIPAA regulations?!

❖ Predictive Parole - Should algorithms and personal data help determine parole?!

❖ The Mugshot Industry - Should public data feed into public shaming? Is this a violation of “innocent until proven guilty”?!

❖ Gun owners & the Journal News - Should journalists be able to publish gun owners’ home addresses?!

❖ 538 reports on “Nigerian Kidnappings” - Yikes. Even data journalists get things really, really wrong sometimes.!

❖ “Doxing” - Should we have consequences for doxing, which often uses public data to shame, harass or bully an individual?

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WHAT IS IMPORTANT TO TEACH JOURNALISM STUDENTS ABOUT DATA

& ETHICS?

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WHAT I WANT THEM TO LEARN

!

• Case studies to see nuance

• Data comes from material practices

• Ecosystem of personal data

• Data doesn’t have all the answers

• Privacy concerns, protecting self and sources, assessing risk now and into the future

• Nuts and bolts of tools (end-to-end encryption, deleting data securely, etc.)

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CONTEXT• Journalism Undergrads and Grads

• Professionally oriented, Like learning practical skills

• Media savvy but not “techies”

• They will read but I have to emphasize that they will need to “perform” the reading in some way in class

• Class is studio-based; Prefer activities & projects to lectures & theory

• Limited class time