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→People are Exposed in the Surveillance Economy
==== People are Exposed in : The burden of protection is put on people—who can’t see or feel the Surveillance Economy threat. ====
'''Opting out is not an option '''<br />
: ''“The way we design user interfaces can have a profound impact on the privacy of a user’s data. It should be easy for users to make choices that protect their data privacy. But all too often, big tech companies instead design their products to manipulate users into surrendering their data privacy. These methods are often called ‘Dark Patterns.’”'' - Alexis Hancock, Staff Technologist, EFF
==== Excluded: Big companies are hoarding troves of data and smothering competition ====
'''Barriers to entry for disadvantaged players'''<br />
Monopolies of power and data are killing viable competition and innovation from alternative players. And making matters worse, compliance drastically cripples small, medium, and even large businesses.
'''Discriminatory decision-making'''<br />
Decisions based on biased data or algorithms, along with different value ascribed to data produced by different segments of the population, create an exclusionary and discriminatory reality.
''This pain is perpetuated by:''<br />
'''Winners take all (the data)'''<br />
Early entrants have access to the most data and users. This is rigging the game in their favor and creating insurmountable barriers to entry for businesses of all shapes and sizes. Monopolies rule, and true innovation and viable competition is killed.
'''Data lakes over lean data'''<br />
The bigger the data hoard, the bigger the value might be—even if we don’t know how to realize that value today. But just because companies are collecting huge quantities of data doesn’t mean it can be used for the right means.
'''Walled gardens over public parks'''<br />
Walled gardens don’t allow interoperability, keeping people stuck in the garden, and any other players out.
'''Garbage in, garbage out'''<br />
With no standards of collection and many incentives to extract as much data as possible, data quality and provenance information is low. This means decisions made on people’s lives not based on empirical data.
: ''“It's not just a problem of collection now, but of how people use the stockpiles of data they have.”'' - Ben Wizner, Director of Speech, Privacy & Technology Project, ACLU
: ''“The default is: Collect everything, then we'll figure out how to monetize it later.”'' - David Bryant, Mozilla Fellow
: ''“I worry we are collecting data because it’s cheap. People think it's a pile of snow, but it's actually a pile of yellow snow. It's not clean.”'' - Jess Mitchell, Researcher, Inclusive Design Research Centre, OCAD
: ''“With a ‘collect it all’ approach, you're not creating the clean data sets you need for AI and ML models.”'' - Jochai Ben-Avie, Head of International Policy, Mozilla
== Towards a Positive Vision ==
