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Incident 557: Miami Police Deployed Facial Recognition to Arrest George Floyd Protestor Allegedly without Cause

Description: Miami Police's arrest report for a George Floyd protestor did not disclose use of facial recognition, which allegedly did not meet the legal threshold for probable cause for arrest.

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Alleged: Clearview AI developed an AI system deployed by Miami Police Department, which harmed Oriana Albornoz and George Floyd protest participants.

Incident Stats

Incident ID
557
Report Count
4
Incident Date
2020-06-24
Editors
Khoa Lam, Sean McGregor
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Privacy & Security

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

Incident Reports

Reports Timeline

Incident OccurrenceMiami Police Used Facial Recognition Technology in Protester's Arrest+1
CCPA impact on businesses
Facial Recognition in Law Enforcement, Pt. 2
Miami Police Used Facial Recognition Technology in Protester's Arrest

Miami Police Used Facial Recognition Technology in Protester's Arrest

nbcmiami.com

CCPA impact on businesses

CCPA impact on businesses

thecyberwire.com

Biometric facial recognition ban considered in Pittsburgh and enacted in Jackson, Mississippi

Biometric facial recognition ban considered in Pittsburgh and enacted in Jackson, Mississippi

biometricupdate.com

Facial Recognition in Law Enforcement, Pt. 2

Facial Recognition in Law Enforcement, Pt. 2

malicious.life

Miami Police Used Facial Recognition Technology in Protester's Arrest
nbcmiami.com · 2020

Police body cameras and tower camera video show some of what happened on May 30 as protesters squared off with Miami officers forming a line outside of their Downtown headquarters.

The videos, exclusively obtained by NBC 6 Investigators, ca…

CCPA impact on businesses
thecyberwire.com · 2020

Stephen Cavey: Security – and privacy for that matter – it's a business problem, and it starts at the top and flows down.

Dave Bittner: Hello, everyone. And welcome to "Caveat," the CyberWire's law and policy podcast. This is Episode 43 for…

Biometric facial recognition ban considered in Pittsburgh and enacted in Jackson, Mississippi
biometricupdate.com · 2020

A bill has been introduced in Pittsburgh, Pennsylvania that would ban the “unrestricted” use of facial recognition by the city’s police, as well the use of predictive policing algorithms, Pittsburgh City Paper reports.

The bill was brought …

Facial Recognition in Law Enforcement, Pt. 2
malicious.life · 2021

One month before the New York Times published the story of Robert Williams, police officers killed George Floyd. We all remember the weeks that followed. The protests that broke out around the country garnered attention around the world. It…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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