As we move into an era in which personal devices are seen as proxies for public needs, we run the risk that already-existing inequities will be further entrenched. Thus, with every big data set, we need to ask which people are excluded. Which places are less visible? What happens if you live in the shadow of big data sets?
Interpretation
This quote highlights the risk of bias in big data and the potential exclusion of marginalized populations.
Kate Crawford emphasizes the importance of recognizing the limitations of big data and the potential harm caused by overlooking certain groups or locations. As technology advances, it is crucial to critically assess who is represented in the data we collect and analyze, as ignoring these aspects can reinforce existing social inequalities.
In practice
This quote could be used in a discussion about the impact of technology on societal inequities at a tech conference.
If you're not thinking about the way systemic bias can be propagated through the criminal justice system or predictive policing, then it's very likely that, if you're designing a system based on historical data, you're going to be perpetuating those biases.
We need to be vigilant about how we design and train these machine-learning systems, or we will see ingrained forms of bias built into the artificial intelligence of the future.
Only by developing a deeper understanding of AI systems as they act in the world can we ensure that this new infrastructure never turns toxic.
It is a failure of imagination and methodology to claim that it is necessary to experiment on millions of people without their consent in order to produce good data science.
The fear isn't that big data discriminates. We already know that it does. It's that you don't know if you've been discriminated against.
If you have rooms that are very homogeneous, that have all had the same life experiences and educational backgrounds, and they're all relatively wealthy, their perspective on the world is going to mirror what they already know. That can be dangerous when we're making systems that will affect so many diverse populations.
Protecting yourself is very challenging in the hostile environment of the Internet. Imagine a global environment where an unscrupulous person from the other side of the planet can probe your computer for weaknesses and exploit them to gain access to your most sensitive secrets.
Software is eating the world, but AI is going to eat software.
The Internet, in general, I find troubling. The anonymity has made us all meaner and dumber. This thing that was supposed to bring us closer together, I see it doing the opposite.
The greatest single programming language ever designed
Ugly programs are like ugly suspension bridges: they're much more liable to collapse than pretty ones, because the way humans (especially engineer-humans) perceive beauty is intimately related to our ability to process and understand complexity. A language that makes it hard to write elegant code makes it hard to write good code.
The programmer, like the poet, works only slightly removed from pure thought-stuff. He builds his castles in the air, from air, creating by exertion of the imagination. Few media of creation are so flexible, so easy to polish and rework, so readily capable of realizing grand conceptual structures.
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