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MEASURING
MORALS
ANALOG THINKING
DIGITAL WORLD
@RAYCHASER
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
“REPRESENTATIVE OF THE MILITARY-INDUSTRIAL COMPLEX”
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
GOOD
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
DATA
IS
HUMAN
G E N E R AT E D O B S E R V E D
A N A LY Z E D I N T E R P R E T E D
BY HUMANS
SMOKING  CANCER
R. A. FISHER
F A T H E R O F M O D E R N S T A T I S T I C S
“Before it was developed [that light is photons] by Planck,
Einstein, and others early in this century, physics texts taught
that light was transverse wave motion, a conception rooted in
a paradigm that derived ultimately from the optical writings
of Young and Fresnel in the early nineteenth century. Nor was
the wave theory the first to be embraced by almost all
practitioners of optical science. During the eighteenth century
the paradigm for this field was provided by Newton’s
Opticks, which taught that light was material corpuscles.”
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
Measuring Our Morals–Analog Thinking In A Digital World
ETHICS
NORMATIVE
RIGHT VS WRONG
M O R A L S TA N D A R D S
TREAT PEOPLE
AS AN END,
AND NEVER AS
A MEANS TO
AN END
Measuring Our Morals–Analog Thinking In A Digital World
Acknowledge that data are people and can do harm
Recognize that privacy is more than a binary value
Guard against the reidentification of your data
Practice ethical data sharing
Consider the strengths and limitations of your data;
big does not automatically mean better
Debate the tough, ethical choices
Develop a code of conduct for your organization,
research community, or industry
Design your data and systems for auditability
Engage with the broader consequences of data
and analysis practices
Know when to break these rules
HUMAN DATA
ANALYTICS
Thank you
SumoLogic Confidential
@raychaser

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Measuring Our Morals–Analog Thinking In A Digital World

  • 4. “REPRESENTATIVE OF THE MILITARY-INDUSTRIAL COMPLEX”
  • 19. G E N E R AT E D O B S E R V E D A N A LY Z E D I N T E R P R E T E D BY HUMANS
  • 21. R. A. FISHER F A T H E R O F M O D E R N S T A T I S T I C S
  • 22. “Before it was developed [that light is photons] by Planck, Einstein, and others early in this century, physics texts taught that light was transverse wave motion, a conception rooted in a paradigm that derived ultimately from the optical writings of Young and Fresnel in the early nineteenth century. Nor was the wave theory the first to be embraced by almost all practitioners of optical science. During the eighteenth century the paradigm for this field was provided by Newton’s Opticks, which taught that light was material corpuscles.”
  • 28. NORMATIVE RIGHT VS WRONG M O R A L S TA N D A R D S
  • 29. TREAT PEOPLE AS AN END, AND NEVER AS A MEANS TO AN END
  • 31. Acknowledge that data are people and can do harm Recognize that privacy is more than a binary value Guard against the reidentification of your data Practice ethical data sharing Consider the strengths and limitations of your data; big does not automatically mean better Debate the tough, ethical choices Develop a code of conduct for your organization, research community, or industry Design your data and systems for auditability Engage with the broader consequences of data and analysis practices Know when to break these rules