March 17, 2022
Information Technology Department
(d)4: Digital Privacy Program Status
Report
Public Safety, Finance, and Strategic
Support (PSFSS) Committee
2 San José has evolved its digital privacy since 2016
2016
First security
and privacy
framework
2017
Community
discussions
& research
on privacy
2018
City privacy
principles
2019
Privacy
Advisory
Taskforce1
2020
Digital Privacy
Policy
2021
Digital Privacy
Program
Connected devices (Billions)2
+200%
1) First meeting was on November 29, 2018
2) Estimated by IOT Analytics – https://iot-analytics.com/state-of-the-iot-2020-12-billion-iot-connections-surpassing-non-iot-for-the-first-time/
4.6 6.1 8
10 11.7 13.8
2016 2017 2018 2019 2020 2021
3 Privacy is working towards “next-gen” Equity
Purpose Placement Performance
4 Build controls to
mitigate potential
actions that do not
serve the
community
Purpose: Data usage can conflict with City
equity
Source: 1937 residential property map in San Jose with redlined neighborhoods 5 Placement: Inequitable monitoring can lead to inequitable decisions
Monitor & evaluate where
City collects data
Example: Surveillance of traffic crimes (illustrative)
Source: Crimemmapping.org.
*Camera placement is illustrative and does not reflect the presence of actual cameras. 6 Performance: Modern AI capabilities
can be biased and “black-box”
<1% 2%
6%
21%
Lighter Male Lighter Female Darker Male Darker Female
Example: Gender identification error rate based on portraits (2018 Microsoft algorithm)
Source: Buolamwini, Joy, and Timnit Gebru. "Gender shades: Intersectional accuracy disparities in commercial gender classification." Conference on fairness, accountability and transparency. PMLR, 2018.
Require “human”
checks in automated
decisions
7 Digital Privacy Mission:
The data we collect on a community is used to support that community.
We work so that our residents understand what is being collected, why, and how to engage for a safer, smarter, more equitable City. 8 Impact of City’s Digital Privacy practices to date
Since founding in October 2021
Advised in integrating privacy
into the design of projects
Projects reviewed for privacy Including community leaders & local non-profits
13 Departments /
offices advised
60+
Projects reviewed
100’s
Residents engaged
9 Case study in
progress: ALPR
usage in San José
Supported by:
Digital Privacy Advisory Task Force
Police Department:
• Assistant Chief Joseph,
• Deputy Chief Schroder,
• Deputy Director Torrico,
• Division Manager Carrubba
Example picture from an Automated License Plate Reader Camera from the Pasadena, CA Police Department Source: https://www.pasadenanow.com/main/city-council-to-consider-purchasing-more-automatic-license-platereaders 10 Purpose – needs
to consider
State and local laws
City values and needs
Equity among our communities
11 Placement
Understanding usage within the City
Ongoing public notice + community feedback
*Illustrative, actual signage may appear different
12 Performance
Annual reporting metrics on…
Usage Accuracy Effectiveness
13 • Public engagement on ALPR Data
Usage
• Continue navigating other data usage
• Expand equity through data and privacy
• Beyond surveillance: empowering
through data
Next steps:
1 3
4 2
14 Thank you
Information Technology - Digital Privacy Program
[email protected]