Many of us now expect our online activities to be recorded and analyzed, but we assume the physical spaces we inhabit are different. The data broker industry doesn't see it that way. To them, even the act of walking down the street is a legitimate data set to be captured, catalogued, and exploited.
Interpretation
Our physical movements are also considered data by businesses, just like our online activities.
This quote sheds light on the pervasive nature of data collection in today's world, emphasizing that not only our online actions are being monitored and analyzed, but also our physical movements in public spaces. The data broker industry does not distinguish between physical and digital interactions; instead, it views every action, including simply walking down the street, as valuable data to be gathered, organized, and monetized.
In practice
Discussing privacy concerns at a technology 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.
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.
Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.
The ability of businesses to monitor our behavior is already a fact of life, and it isn't going away. Of course we must protect our privacy rights. But if we're smart, we'll also use the data that is being collected to improve our own lives.
The invisibility of work and workers in the digital age is as consequential as the rise of the assembly line and, later, the service economy.
The danger of the Internet is cocooning with the like-minded online - of sending an email or Twitter and confusing that with action - while the real corporate and military and government centers of power go right on.
The PC is the LSD of the '90s.
In engineering, as in other creative arts, we must learn to do analysis to support our efforts in synthesis. One cannot build a beautiful and functional bridge without a knowledge of steel and dirt, and a considerable mathematical technique for using this knowledge to compute the properties of structures. Similarly, one cannot build a beautiful computer system without a deep understanding of how to "previsualize" the process generated by the code one writes.
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