jads workshop on responsible data science (rds) · jads workshop on responsible data science (rds)...
TRANSCRIPT
JADS Workshop on Responsible Data Science (RDS) Wil van der Aalst (DSC/e) Dick den Hertog (DSC/t) Arjan Van Den Born (DSC/d)
Program
9.00-9.05 Opening by Wil van der Aalst 9.05-9.35 Presentation by Viktor Mayer-Schönberger 9.35-9.55 Discussion on Fairness in data science: “Data science without prejudice – How to avoid
unfair conclusions even if they are true?” (session leader dr. Maurits Kaptein) 9.55-10.15 Discussion on Accuracy in data science: “Data science without guesswork – How to
answer questions with a guaranteed level of accuracy?” (session leader prof.dr. Mykola Pechenizkiy)
10.15-10.35 Discussion on Confidentiality in data science: “Data science that ensures confidentiality – How to answer questions without revealing secrets?” (session leader prof.dr. Ronald Leenes)
10.35-10.55 Discussion on Transparency in data science: “Data science that provides transparency – How to clarify answers such that they become indisputable?” (session leader prof.dr.ir. Jack van Wijk)
10.55-11.00 Closing by Dick den Hertog
©Wil van der Aalst & TU/e (use only with permission & acknowledgements) ©Wil van der Aalst & TU/e (use only with permission & acknowledgements)
If data is the new oil on which our society runs, …
©Wil van der Aalst & TU/e (use only with permission & acknowledgements) ©Wil van der Aalst & TU/e (use only with permission & acknowledgements)
unfair use of data
privacy violations bogus conclusions
non-transparent
… then we should take care of data-related forms of pollution!
spurious correlations
Green data science: separate the “pollution” from the actual purpose
Fairness: Data Science without prejudice: How to avoid unfair conclusions
even if they are true?
Fairness: Data Science without prejudice: How to avoid unfair conclusions
even if they are true?
session leader dr. Maurits Kaptein
Accuracy: Data Science without guesswork: How
to answer questions with a guaranteed level of
accuracy?
Accuracy: Data Science without guesswork: How
to answer questions with a guaranteed level of
accuracy?
session leader prof.dr. Mykola Pechenizkiy
Confidentiality: Data Science that ensures
confidentiality: How to answer questions without
revealing secrets?
Confidentiality: Data Science that ensures
confidentiality: How to answer questions without
revealing secrets?
prof.dr. Ronald Leenes
Transparency: Data Science that provides transparency: How to
clarify answers such that they become indisputable?
Transparency: Data Science that provides transparency: How to
clarify answers such that they become indisputable?
prof.dr.ir. Jack van Wijk
www.responsibledatascience.org
Join us!
Program
9.00-9.05 Opening by Wil van der Aalst 9.05-9.35 Presentation by Viktor Mayer-Schönberger 9.35-9.55 Discussion on Fairness in data science: “Data science without prejudice – How to avoid
unfair conclusions even if they are true?” (session leader dr. Maurits Kaptein) 9.55-10.15 Discussion on Accuracy in data science: “Data science without guesswork – How to
answer questions with a guaranteed level of accuracy?” (session leader prof.dr. Mykola Pechenizkiy)
10.15-10.35 Discussion on Confidentiality in data science: “Data science that ensures confidentiality – How to answer questions without revealing secrets?” (session leader prof.dr. Ronald Leenes)
10.35-10.55 Discussion on Transparency in data science: “Data science that provides transparency – How to clarify answers such that they become indisputable?” (session leader prof.dr.ir. Jack van Wijk)
10.55-11.00 Closing by Dick den Hertog
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• Professor of Internet Governance and Regulation at the Oxford Internet Institute, University of Oxford.
• Previous: Harvard's John F. Kennedy School of Government.
• He is the co-author of Big Data: A Revolution That Will Transform How We Live, Work, and Think(HMH, 2013) and author of Delete: The Virtue of Forgetting in the Digital Age (Princeton, 2009.
Viktor Mayer-Schönberger