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Ethics in Analytics
David P. Darcy
Agenda
•What is Ethics?
•Ethics for Data
•Data brokers & bleeding
•Examples
•Cautions
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What is Ethics?
•Set of guiding principles for behavior and
decision making
•Connected to a morality (right vs wrong)
•Contributors can include religion, law,
society, upbringing, fairness, etc.
•Many professions have a code of ethics
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What should be in
Data Ethics?
•Privacy
•Accountability
•Safety & Security
•Transparency & Explainability
•Fairness & non-discrimination
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https://ssrn.com/abstract=3518482
Ethics for Data: Stages
•Disclose data
–Acquire & Store
•Manipulate data
–Aggregate & Analyze
•Consume data
–Use, Share/Sell, & Dispose
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Accenture Labs report on
Building Digital Trust
Smokescreens
•Measures: quantities & qualities
•Use: Binoculars Vs sniper scope
•Dilution of responsibility
•Inevitability
•Progress
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Data Ethics Failures
•Cambridge Analytica
•Interference in US election, 2016
•Facial recognition & mistaken arrest
•Kids market to kids
•Data breaches
–Plastic surgery database exposed
–Therapy records used to blackmail patients
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Your Data Bleed
•Name, Address
•Social Security Number
•Date of Birth
•Internet Cookies
•Location
•Ownership?
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What can you do?
•Recognize that data is gold dust, in midst
of modern gold rush
➢Get, use, share organizational data
carefully
➢Guard your own data carefully
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