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State Of The Internet/Surveillance Economy/datatakeover: Difference between revisions
State Of The Internet/Surveillance Economy/datatakeover (view source)
Revision as of 19:43, 12 February 2020
, 12 February 2020→Phase 1: Diving In: Collectively Owned Open Data
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'''With whom might we work?''' | '''With whom might we work?''' | ||
* Pre-series B startups who lack adequate ‘ethical’ data. | * Pre-series B startups who lack adequate ‘ethical’ data. | ||
* Companies that are trying to solve this data infrastructure and capabilities problem, like Databricks. | * Companies that are trying to solve this data infrastructure and capabilities problem, like Databricks and Digi.me. | ||
* Academic researchers and government. | * Academic researchers and government. | ||
* Groups of people who would find immediate value in sharing such data (e.g. people with mental health issues who are being ‘redlined’ with insurance coverage) | * Groups of people who would find immediate value in sharing such data (e.g. people with mental health issues who are being ‘redlined’ with insurance coverage) | ||
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'''How could we start?''' | '''How could we start?''' | ||
* Enable Firefox users to send CPPA and GDPR requests from within the browser and share their data in a privacy-preserving collective. | * Enable Firefox users to send CPPA and GDPR requests from within the browser and share their data in a privacy-preserving collective. Could start with 'lead users' willing to experiment. | ||
* Enable Firefox users to opt-in and share their browsing data with select researchers who can analyze how their digital lives are shaped by machine learning | * GDPR + CCPA means people can get all sorts of data. What could we help them do with this data and find value with? E.g., data from Uber drivers. In which verticals is there the most opportunity? | ||
* Enable Firefox users to opt-in and share their browsing data with select researchers who can analyze how their digital lives are shaped by machine learning ("Pioneer v2") | |||
* Evaluate and prioritize where there is a public benefit and business need for clean, unbiased datasets that could be crowdsourced. For example, where are there questionable business practices in which collective ownership could help change the dynamics or provide parallel ‘oversight’? (e.g. Uber drivers and their data) Expand the Common Voice model and direct CCPA and GDPR requests in those areas. | * Evaluate and prioritize where there is a public benefit and business need for clean, unbiased datasets that could be crowdsourced. For example, where are there questionable business practices in which collective ownership could help change the dynamics or provide parallel ‘oversight’? (e.g. Uber drivers and their data) Expand the Common Voice model and direct CCPA and GDPR requests in those areas. | ||
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* Sponsor competitions to make the ‘unknown’ known and actionable. How could we help the average person understand who has what data about them and make taking appropriate action—and seeing the resulting benefits—convenient and easy? | * Sponsor competitions to make the ‘unknown’ known and actionable. How could we help the average person understand who has what data about them and make taking appropriate action—and seeing the resulting benefits—convenient and easy? | ||
* Investigate how to incentivize contribution.<br /> | * Investigate how to incentivize contribution. | ||
* What might we learn from Netscape’s DMOZ directory project? And how might we work with our communities (e.g. Mozilla “maven” users) to create and share recommendations for devs to use. | |||
* How might we inject more risk into the system by linking Firefox Monitor alerts on data breaches to actual legal action victims can take | |||
* (related to all Explorations...) Cross-org cross-functional deepdive into how might we leverage FxA as a starting point to giving control back to users.<br /> | |||
===Phase 2: Building Momentum: Unboxing the Black Box=== | ===Phase 2: Building Momentum: Unboxing the Black Box=== | ||