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.
Interpretation
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.
In practice
In a panel discussion on AI ethics, this quote could highlight the need for accountability in technology development.
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.
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?
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.
You don't have to be young to learn about technology. You have to feel young.
Now it's easy for someone to set up a storefront and reach the entire world in very modest ways. So these technologies that we thought would dis-intermediate traditional sellers gave more people the tools to be sellers. It also changed the balance of power between sellers and buyers.
Our civilization depends critically on software, and we have a dangerously low degree of professionalism in the computer fields
What's great in the modern world is that it's becoming easier and easier for people to create without having access to large sums of money. They need access to certain technologies, but the cost is far less than it used to be.
Wherever technology reaches its real fulfillment, it transcends into architecture.
It is not necessary to conceal anything from a public insensible to contradiction and narcotized by technological diversions.
Subscribe for the occasional hand-picked quote. No noise.