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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.
Kate Crawford
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Interpretation

What this quote means

We must carefully manage how we create AI systems to prevent bias in their outcomes.

This quote by Kate Crawford emphasizes the importance of being vigilant in the design and training of machine-learning systems. It warns that without careful attention, biases prevalent in society can be embedded in artificial intelligence, leading to negative consequences in how these technologies function and affect our lives in the future.

Themes

Machine LearningBiasArtificial IntelligenceTrainingDesign

In practice

Example use cases

In a panel discussion on AI ethics, this quote could highlight the need for accountability in technology development.

More from Kate Crawford

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.
Kate CrawfordRead
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?
Kate CrawfordRead
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.
Kate CrawfordRead
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.
Kate CrawfordRead
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.
Kate CrawfordRead
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.
Kate CrawfordRead

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