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Panel Discussion

  • Creator
    Discussion
  • #109360

    Oya Beyan
    Member

    Dear Colleagues,
    In the upcoming plenary we would like to have a panel on Ethics in Data
    Science.
    We have drafted several questions and would like to ask your contribution
    (see below). Please let us know if you would like to add discussion topics.
    We are also looking for experts who would like to take part on the panel
    discussion. If you are interested please let us know.
    Here is the initial question set for panel discussion:
    1. What do you see as some of the major issues and concerns around data
    science/analytics THAT ARE NOT ABOUT PRIVACY?
    2. What are steps that we can take to develop a culture of ethics in
    corporate settings, where so much of the data analytics work takes place?
    3. How do we develop a code of ethics/checklist for ethical uses of data
    science? Should we? And who is “we”?
    4. What are mechanisms we can develop/are being developed to evaluate
    the outcomes of algorithmic decision-making?
    5. What are some of the effects of algorithmic bias that you are seeing
    in your environments? Are they being addressed and how?
    6. How does “the right to be forgotten” play into our concerns for data
    sources/outcomes of data analytics?
    7. If we want to create diverse teams for data science, what should
    those teams look like?
    8. On of the major criticisms of algorithmic decision-making is the lack
    of transparency and accountability in such systems (examples include
    housing, financial products, health insurance). What are some ways we might
    put accountability into the system?
    Oya Beyan @ Kalpana Shankar

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