Benjamin (2019), Engineered Inequity: Are Robots Racist?
- No way to understand the technology of AI without the social contexts of culture, politics, power, money, etc
- A 'purely' technical or scientific explanation is incomplete
Goodyear (2016), The Stem-Cell Scandal
- The _doing_ of science bears little resemblance to the uncomplicated ideal of a pure scientific method
- Science is done by _people and organizations_ operating within _social institutions_
- Scientific practice is not immune to social forces
Gould (1981), Measuring Heads
- If there is one big lesson from 150 years of sociology it is this: institutions and individual behavior inevitably reinforce existing power structures
- We are all (yes, _you_) influenced by dominant norms and socialized preconceptions about the world
- tools and methods can help, but not completely
Wolfe (2018), Freedom’s Laboratory (Introduction)
- What we mean by 'science' (the practice, utility, significance, role, ...) is deeply situated in the current historical moment.
- Wolfe: This goes beyond just "what are the important questions." Science is more entangeled with culture than that.
- What science is _for_ (creating of useful tools? fulfilling basic curiousity about the universe? Generating expertise as a political resource?) depends on the time and place that is being done.
- (like all institutions: govt, military, education, family, ...)