Police Reportedly Deployed ShotSpotter Sensors Disproportionately in Neighborhoods of Color

Police departments disproportionately placed ShotSpotter sensors in black and brown neighborhoods, which is denounced by communities for allegedly creating dangerous situations, such as one involving in Adam Toledo's death.

Risk classification

• Primary risk domain: 1 Discrimination & Toxicity
• Primary risk subdomain: 1.1 Unfair discrimination and misrepresentation

The ShotSpotter system is deployed almost exclusively in Black and Latinx neighborhoods, resulting in unequal treatment, systemic overpolicing, and unfair outcomes for these demographic groups.

Additional risk subdomains

• 7.3 Lack of capability or robustness: The system frequently fails to distinguish gunshots from other loud noises like fireworks or backfiring cars, leading to an 89% false alert rate.
• 2.1 Compromise of privacy by obtaining, leaking or correctly inferring sensitive information: The continuous recording of public spaces by ShotSpotter microphones captures private conversations without consent, violating resident privacy.

Causal factors

• Entity: AI
• Intent: Unintentional
• Timing: Post-deployment

The systemic issues arose from the ShotSpotter AI system's high rate of false positives and its operational deployment post-deployment, which unintentionally resulted in overpolicing and civil rights violations.

EU AI Act risk tier

• Risk tier: 2 High Risk

High Risk: The system is used in law enforcement applications, specifically for detecting gunfire and directing police deployments, which has significant implications for safety, fundamental rights, and public interests.

AI system and alleged parties

• AI system: ShotSpotter
• AI purpose: Gunshot Detection; Predictive Policing
• Behaviour type: Assistant
• Alleged developer: ShotSpotter
• Alleged deployer: Kansas City Police Department, Cleveland Division of Police, Chicago Police Department, Atlanta Police Department
• Alleged harmed parties: neighborhoods of color, Brown communities, Black communities, Adam Toledo

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Substantial. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

• Physical: direct Negligible, indirect Substantial
• Infrastructure: direct Negligible, indirect Negligible
• Property: direct Negligible, indirect Negligible
• Financial: direct Substantial, indirect Negligible
• Environmental: direct Negligible, indirect Negligible
• Malicious content: direct Negligible, indirect Negligible
• Differential treatment: direct Substantial, indirect Substantial
• Civil rights: direct Substantial, indirect Substantial
• Democracy: direct Negligible, indirect Negligible
• Privacy: direct Substantial, indirect Substantial
• Psychological: direct Negligible, indirect Minor
• Epistemic: direct Negligible, indirect Negligible
• Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Physical

Reported: The report explicitly describes physical harm, specifically the fatal shooting of an unarmed minor by police.

Indirectly caused: A ShotSpotter alert initiated a high-intensity police response that indirectly led to the fatal shooting of unarmed 13-year-old [PERSON_001] by Chicago police.

Inferred additional harm: It is likely that other high-intensity deployments triggered by false alerts have resulted in physical altercations or injuries, though they are not explicitly detailed.

Financial

Reported: The report describes significant municipal expenditures, including Chicago's $33 million contract and Syracuse's $400,000 annual spending.

Directly caused: Municipalities spent millions of dollars on contracts for an ineffective system, with Chicago spending approximately $10 million annually.

Inferred additional harm: Other cities using the technology have likely spent millions of dollars of public funds on ineffective contracts and wasted police hours.

Differential treatment

Reported: The report explicitly describes systematic differential treatment of Black and Latinx communities.

Directly caused: ShotSpotter sensors are deployed almost exclusively in majority Black and brown neighborhoods, subjecting them to disproportionate surveillance.

Indirectly caused: The disproportionate alerts inflate gunfire statistics in minority neighborhoods, which feeds into predictive policing tools to justify further overpolicing.

Inferred additional harm: Systemic reinforcement of racial disparities in law enforcement across multiple US cities, affecting hundreds of thousands of minority residents.

Civil rights

Reported: The report explicitly describes violations of civil liberties and rights.

Directly caused: Continuous audio recording of public spaces violates the privacy rights of residents in monitored neighborhoods.

Indirectly caused: The system subjects residents to unreasonable search, seizure, and excessive police suspicion, violating civil liberties and leading to the tragic death of an unarmed minor.

Inferred additional harm: Thousands of individuals subjected to unwarranted police stops and searches based on false alerts, violating their civil rights.

Privacy

Reported: The report explicitly describes privacy violations from continuous audio recording.

Directly caused: ShotSpotter microphones are capable of continuously recording conversations at normal volume from up to 50 feet away, capturing private voices without consent.

Indirectly caused: Audio recordings containing voices, screams, or shouts have been used in court trials, compromising the privacy of individuals in public spaces.

Inferred additional harm: Millions of residents in monitored neighborhoods have had their private conversations recorded and stored without their knowledge or consent.

Psychological

Reported: The report describes communities feeling 'under siege' and the 'powderkeg' environment causing distress.

Indirectly caused: Residents in monitored neighborhoods experience severe anxiety, distress, and trauma due to constant surveillance and frequent high-alert police deployments.

Inferred additional harm: Widespread community-level psychological trauma is highly likely given the thousands of unfounded, volatile police deployments in minority neighborhoods.

People affected

• Occurrences reported: 1
• People reportedly harmed: 1
• People reportedly exposed: 40000

Potential causes

Management

• Prioritizing Tech over Root Causes: Cities spend millions on tech instead of investing in community resources.
• Deficient Risk Assessment: Management ignored risks of racial bias and volatile police deployments.
• Vendor Accountability Deficit: Cities extend contracts despite high false-alarm rates and lack of evidence.

Technology

• Acoustic Classification Errors: Algorithms fail to distinguish gunshots from fireworks or car backfires.
• Inconsistent Location Data: Triangulation accuracy varies, sometimes providing only a general area.
• Continuous Microphone Recording: Microphones record constantly, creating severe privacy risks for residents.

Data Inputs

• Biased Historical Crime Data: System placement relies on historical data, reinforcing overpolicing.
• Unfiltered Environmental Noise: Loud ambient sounds like construction or helicopters trigger false alerts.
• Lack of Local Ground Truth: Lack of validated local training data leads to classification errors.

Human Factors

• Officer Cognitive Bias: Alerts prime officers to expect an active shooter, escalating encounters.
• Technician Verification Error: Human review in under 60 seconds fails to filter out false positives.
• Community Distrust: Residents feel under siege, leading to unreported incidents and tension.

Process and Methods

• High-Intensity Dispatch Policy: Armed dispatch to every alert creates volatile and dangerous situations.
• CompStat Feedback Loop: Unfounded alerts feed predictive policing, skewing resource allocation.
• No Scientific Validation: No independent studies confirm the claimed 97% accuracy rate.

Regulatory Environment

• Absence of Surveillance Oversight: Lack of strict federal or local regulations on acoustic surveillance use.
• Admissibility of Unproven Evidence: Courts accept unverified audio recordings without rigorous validation.
• Lack of Public Input: City councils approve technology contracts without community consultation.

Information quality

• Classification confidence: High
• Reason for confidence: The reports provide detailed, empirical data from academic and legal studies (e.g., MacArthur Justice Center) regarding the system's deployment patterns, false positive rates, and social impacts. There is high consensus among the critical reports, and the company's counterclaims are also documented, allowing for a balanced and highly confident assessment.
• Ambiguities identified: The exact algorithm used by ShotSpotter to distinguish gunshots from other noises is proprietary and not fully disclosed.
• Alternative interpretations: Proponents argue the system is a crucial investigative tool that addresses underreported gunfire, while critics view it as an inaccurate surveillance tool that exacerbates racialized overpolicing.

The deployment of the ShotSpotter acoustic detection system across US cities has raised significant concerns regarding high false-positive rates, disproportionate surveillance of minority communities, and privacy violations from continuous audio recording. While causing localized civil rights issues and domestic policing challenges, the national security impact remains minor.

• Overall national security impact: Minor
• Scope: Single nation
• Primary target: United States
• Alleged perpetrator: Unknown

Threat characteristics

• Imminence: Long-term. Represents an ongoing capability deployment and municipal policy concern rather than an immediate national security crisis.
• Autonomy: Human-supervised. Acoustic sensor software detects sounds autonomously, but human technicians verify alerts before dispatching law enforcement.
• Novelty: Established threat. Acoustic detection and algorithmic policing tools have been deployed by law enforcement agencies for many years.

Impact by dimension

• Physical security: Minor. Local law enforcement deployments triggered by false alerts have resulted in tragic physical harm, but represent localized domestic policing issues rather than threats to national critical infrastructure.
• Information security: Minor. Continuous audio recording capabilities capture private conversations in public spaces, raising domestic privacy concerns, but do not involve foreign intelligence compromise or systematic information warfare.
• Sovereignty: Negligible. The incident involves local municipal contract decisions and domestic law enforcement operations, with no threat to national sovereignty or core federal government functions.
• Economic security: Negligible. Involves localized municipal expenditures and contract costs, which do not impact strategic national economic stability or technological competitive advantage.
• Societal stability: Minor. Systemic deployment in minority neighborhoods and high false-positive rates exacerbate racial disparities and raise civil liberties concerns, though impacts remain localized within municipal policing boundaries.