Now that we’ve seen a number of concrete, real world examples of ethical issues that arise with data, we will step back and learn about some ethical philosophies and lenses to evaluate ethics through, as well as considering how ethical questions are chosen. We will also cover the Markkula Center’s Tech Ethics Toolkit, a set of concrete practices to be implemented in the workplace.
Required Reading
Shannon Vallor et al, Conceptual Frameworks in Technology and Engineering Practice: Ethical Lenses to Look Through
Ian Bogost, Enough With the Trolley Problem
Zeynep Tufekci, Sociological Storytelling vs. Psychological Storytelling
Langdon Winner, Do Artifacts Have Politics?
Shannon Vallor, An Ethical Toolkit for Engineering/Design Practice
Optional Reading
Meg Young et al, Toward inclusive tech policy design: a method for underrepresented voices to strengthen tech policy documents
Margaret Mitchell et al, Model Cards for Model Reporting
Eric P. S. Baumer and M. Six Silberman, When the Implication Is Not to Design (Technology)
Mark White, Superhuman Ethics Class With The Avengers Prime