Existing Models Need to Change in Order to Build Trust and Drive User Adoption of Data-Driven Experiences.
The No Privacy Model
Defined by, totally controlled and regulated by a single entity, with low or no transparency.
Easier to implement and control the data, as it is centralised.
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Data is used without restriction or oversight, poor value exchange between services and customers, breaking down trust in institutions, and each other.
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Inherently insecure, and prone to data hacks, as it is centralised.
The Unregulated Privacy Model
Defined by the open market, best idea wins, broadly unregulated, with poor transparency.
Drives rapid innovation, driven by profitability, and market demand.
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Multiple standards, abuse of data, fragmented ecosystem - eroding trust and restricting user adoption of new services that require a lot of personal data, such as personalisation and face recognition.
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Less secure, and prone to data hacks, as data is centralised.