M. Elizabeth Karns is a lawyer and epidemiologist. Her teaching is directly connected to her practice, which has focused on statistical evidence, occupational illnesses, assault and harassment injuries, and reproductive harms. Professor Karns has been involved in every aspect of the data life cycle, from initial design to post-event forensic evaluations. Her work on data science ethics brings together professional practice norms, individual values, and organizational goals. Professor Karns is currently developing a virtual reality experience based on the unintended consequences of automated fraud detection.
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The Urgency of Data Science Ethics
How Lives Can Be Upended by Applications
Tuesday, October 18, 2022, 1pm EDT
Event Overview
Data science practitioners play a unique role in today’s society: They are responsible for the acquisition, acceleration, and amplification of data at a level never seen before. Every process in daily life is affected by the decisions of data scientists. Yet data scientists might not realize who they are affecting and how lives can be upended by applications.
How can we be certain that the results of a predictive model based on big data are ethical? What can be done to improve security and fairness? Should we require demonstration of predictive model accuracy before individual lives are involved?
Join us for this virtual discussion as lawyer and epidemiologist M. Elizabeth Karns examines these questions in light of emerging issues such as predictive performance and safety in schools, use of facial recognition and fraud detection, and the development of data citizenship for everyone.
RESOURCES / NEXT STEPS
White House Blueprint for an Bill of AI Rights released last week
STATISTICAL FOUNDATIONS Cornell Certificate Program
PYTHON 360 Cornell Certificate Program
REVOLUTIONS PODCAST
Mauler Ball Spiky Massage Roller Ball
How can we be certain that the results of a predictive model based on big data are ethical? What can be done to improve security and fairness? Should we require demonstration of predictive model accuracy before individual lives are involved?
Join us for this virtual discussion as lawyer and epidemiologist M. Elizabeth Karns examines these questions in light of emerging issues such as predictive performance and safety in schools, use of facial recognition and fraud detection, and the development of data citizenship for everyone.
RESOURCES / NEXT STEPS
White House Blueprint for an Bill of AI Rights released last week
STATISTICAL FOUNDATIONS Cornell Certificate Program
PYTHON 360 Cornell Certificate Program
REVOLUTIONS PODCAST
Mauler Ball Spiky Massage Roller Ball
What You'll Learn
- Why we have an urgent need to develop clear, ethical practices in data science
- How data science holds a unique position in modern professional life
- Why we need to connect organizational aspirations with individual data science choices
- How to ask questions about the accountability of predictive models
Speaker
Senior Lecturer, Social Statistics, Cornell ILR School
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Oct18
Add to Calendar 1:00 PM - 2:00 PM EDT
2022-10-18 13:002022-10-18 14:00The Urgency of Data Science EthicsAdd to CalendarData science practitioners play a unique role in today’s society: They are responsible for the acquisition, acceleration, and amplification of data at a level never seen before. Every process in daily life is affected by the decisions of data scientists. Yet data scientists might not realize who they are affecting and how lives can be upended by applications.
How can we be certain that the results of a predictive model based on big data are ethical? What can be done to improve security and fairness? Should we require demonstration of predictive model accuracy before individual lives are involved?
Join us for this virtual discussion as lawyer and epidemiologist M. Elizabeth Karns examines these questions in light of emerging issues such as predictive performance and safety in schools, use of facial recognition and fraud detection, and the development of data citizenship for everyone.
RESOURCES / NEXT STEPS
White House Blueprint for an Bill of AI Rights released last week
STATISTICAL FOUNDATIONS Cornell Certificate Program
PYTHON 360 Cornell Certificate Program
REVOLUTIONS PODCAST
Mauler Ball Spiky Massage Roller Ballhttps://ecornell.cornell.edu/keynotes/view/K101822/primaryAmerica/New_YorkeCornell
How can we be certain that the results of a predictive model based on big data are ethical? What can be done to improve security and fairness? Should we require demonstration of predictive model accuracy before individual lives are involved?
Join us for this virtual discussion as lawyer and epidemiologist M. Elizabeth Karns examines these questions in light of emerging issues such as predictive performance and safety in schools, use of facial recognition and fraud detection, and the development of data citizenship for everyone.
RESOURCES / NEXT STEPS
White House Blueprint for an Bill of AI Rights released last week
STATISTICAL FOUNDATIONS Cornell Certificate Program
PYTHON 360 Cornell Certificate Program
REVOLUTIONS PODCAST
Mauler Ball Spiky Massage Roller Ballhttps://ecornell.cornell.edu/keynotes/view/K101822/primaryAmerica/New_YorkeCornell
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