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Incidente 823: Cybercheck Tool Allegedly Provides Questionable Evidence in Murder Trials

Descripción: Global Intelligence's Cybercheck AI tool, used by law enforcement to track suspects based on open source data, has allegedly been providing inaccurate or unverifiable evidence in several murder trials. Reportedly the tool lacks transparency and often produces unreliable reports, which has prompted prosecutors to withdraw Cybercheck evidence from multiple cases after its findings were challenged, reportedly wasting law enforcement time and resources while undermining prosecutors' cases.
Editor Notes: This incident ID is a collective incident representing several discrete harm events centering on investigations into Global Intelligence's Cybercheck AI tool, an incident ID that may form the basis for future individual incident IDs themselves. Quick notes on the individual incidents and their general timelines for later consideration: (1) In Akron, Ohio, on August 2, 2020, Kimberly Thompson, Brian James, and Thompson’s grandson, Tyree Halsell, were shot. Cybercheck evidence mistakenly placed suspect Phillip Mendoza at the scene on August 20, claiming 93.13% accuracy. A corrected report later appeared with the correct date, but questions arose over its accuracy. Mendoza’s defense challenged the evidence, and the Cybercheck report was ultimately withdrawn. Mendoza pleaded guilty in August 2023, receiving 15 to 20.5 years, though Cybercheck’s errors may have influenced the outcome. (2) From 2017-2021, Cybercheck expanded rapidly across U.S. law enforcement agencies, conducting thousands of searches, often without methodological validation. (3) In Midland County, Texas, 2021, Cybercheck linked suspect Sergio Cerna to a murder scene by claiming a 97.25% accuracy rate in his device's interaction with a wireless printer. Mid-hearing, the prosecution withdrew Cybercheck’s evidence due to a lack of corroboration, yet Cerna was later convicted on other grounds. (4) In July 2021, in Akron, Ohio, Cybercheck implicated Deshawn Coleman and Eric Farrey in a robbery. However, experts could not verify social media accounts or email addresses tied to the suspects. (5) In 2022, in Aurora, Colorado, Cybercheck identified a homicide suspect via a router ping, but detectives found the resident had no such router, nullifying the evidence. (6) In a separate Akron 2021 homicide, Cybercheck data against Javion Rankin was excluded after Adam Mosher withheld the source code, leading to Rankin’s release. (7) In another Aurora, Colorado case involving the 2022 shooting of a 13-year-old, Cybercheck posited a gang link between rival suspects, conflicting with other evidence and raising doubts. (8) Mississippi’s Bureau of Investigation, in 2022, used Cybercheck in a missing juvenile case but found the information false; the juvenile was found through traditional methods, reportedly wasting investigative resources. (9) In late 2022/early 2023, Summit County prosecutors withdrew Cybercheck evidence from four murder cases following defense challenges on reliability. (10) In a New York cold case, Cybercheck claimed to track a suspect’s phone to multiple crime locations from 20 years ago, with trial set for 2025. (11) In late 2022, Summit County murder cases for Salah Mahdi and Adarus Black involved Cybercheck, but no defense challenge was raised. Later, validation issues in other cases prompted post-conviction concerns. (12) In a 2023 Boulder, Colorado child sexual abuse case, Mosher’s reportedly misleading testimony about prior Canadian cases led to dropped charges and raised credibility questions. (13) In April 2023, Coleman and Farrey’s defense revealed inconsistencies in Mosher’s expert witness records, undermining the Cybercheck report. (14) Ohio’s Bureau of Criminal Investigation ended its $30,000 contract after Cybercheck provided unverifiable email leads in multiple cases. (15) Yakima County, Washington ceased using Cybercheck following numerous inaccuracies in the tool’s output. (16) Cybercheck’s reports included persistent issues with unverifiable device-network pings, casting doubts on the legitimacy of its claimed open-source accuracy.

Herramientas

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Presunto: un sistema de IA desarrollado e implementado por Global Intelligence y Cybercheck, perjudicó a Phillip Mendoza , Sergio Cerna , Unnamed Aurora Colorado residents , Mississippi Bureau of Investigation , Four unnamed Summit County Ohio men , Unnamed Boulder County Colorado resident , Ohio Bureau of Criminal Investigation y Yakima County Sheriff’s Office.

Estadísticas de incidentes

ID
823
Cantidad de informes
3
Fecha del Incidente
2024-05-03
Editores
Daniel Atherton
Applied Taxonomies
MIT

Clasificaciones de la Taxonomía MIT

Machine-Classified
Detalles de la Taxonomía

Risk Subdomain

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

7.4. Lack of transparency or interpretability

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. AI system safety, failures, and limitations

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

Informes del Incidente

Cronología de Informes

+1
Una herramienta de inteligencia artificial utilizada en miles de casos penales enfrenta desafíos legales
Surgen preguntas sobre el uso de una herramienta de inteligencia artificial para combatir el crimenEsta herramienta de inteligencia artificial ayudó a condenar a personas por asesinato. Entonces alguien investigó más de cerca
Una herramienta de inteligencia artificial utilizada en miles de casos penales enfrenta desafíos legales

Una herramienta de inteligencia artificial utilizada en miles de casos penales enfrenta desafíos legales

nbcnews.com

Surgen preguntas sobre el uso de una herramienta de inteligencia artificial para combatir el crimen

Surgen preguntas sobre el uso de una herramienta de inteligencia artificial para combatir el crimen

theweek.com

Esta herramienta de inteligencia artificial ayudó a condenar a personas por asesinato. Entonces alguien investigó más de cerca

Esta herramienta de inteligencia artificial ayudó a condenar a personas por asesinato. Entonces alguien investigó más de cerca

wired.com

Una herramienta de inteligencia artificial utilizada en miles de casos penales enfrenta desafíos legales
nbcnews.com · 2024
Traducido por IA

En los últimos años, las agencias de aplicación de la ley y los fiscales, desde Colorado hasta Nueva York, han recurrido a una herramienta de inteligencia artificial poco conocida para ayudar a investigar, acusar y condenar a sospechosos ac…

Surgen preguntas sobre el uso de una herramienta de inteligencia artificial para combatir el crimen
theweek.com · 2024
Traducido por IA

Con el auge de las tecnologías de inteligencia artificial, las fuerzas del orden han utilizado cada vez más herramientas de IA para ayudar a resolver delitos e incluso a poner a personas tras las rejas. Pero ahora una de estas herramientas,…

Esta herramienta de inteligencia artificial ayudó a condenar a personas por asesinato. Entonces alguien investigó más de cerca
wired.com · 2024
Traducido por IA

Poco después de las 9 p. m. de una noche de agosto de 2020, Kimberly Thompson y Brian James estacionaron el auto en una entrada de Akron, Ohio, y salieron en medio de una andanada de disparos. Recibieron disparos en las piernas, fueron llev…

Variantes

Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.

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