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.
These four policy prescriptions - strengthening educational opportunities, revamping immigration rules for highly skilled workers, increasing federal funding for basic scientific research, and providing incentives for private-sector R&D - should in my view be top priorities as Congress and the Administration consider how to maintain the nation's leadership in science, technology, and innovation.
When producers want to know what the public wants, they graph it as curves. When they want to tell the public what to get, they say it in curves.
The minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort.
Since the rise of Homo sapiens, human beings have been the smartest minds around. But very shortly - on a historical scale, that is - we can expect technology to break the upper bound on intelligence that has held for the last few tens of thousands of years.
We want to build technology that everybody loves using, and that affects everyone. We want to create beautiful, intuitive services and technologies that are so incredibly useful that people use them twice a day. Like they use a toothbrush. There aren't that many things people use twice a day.
Internet-centric companies have already begun changing the rules with binge-watching, flexible running times, fewer commercials, and crowd-sourced content. The brainpower - and just plain power - of the most valued tech firms will change things even more.
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