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Incidente 172: NarxCare’s Risk Score Model Allegedly Lacked Validation and Trained on Data with High Risk of Bias

Descripción: NarxCare's overdose risk algorithm, lacking peer-reviewed validation, uses sensitive data like doctor visits, prescriptions, and possibly genetic information, leading to significant biases against women and Black patients. Factors like sexual abuse and criminal records exacerbate stigmas and disparities, often resulting in unjust denial of necessary pain medication. The newly approved AvertD genetic test shares similar issues, further complicating and potentially harming medical treatment decisions.

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Alleged: Appriss developed an AI system deployed by Appriss , NarxCare y AvertD, which harmed American physicians , American pharmacists , American patients of minority groups y American patients.

Estadísticas de incidentes

ID
172
Cantidad de informes
3
Fecha del Incidente
2020-07-01
Editores
Sean McGregor, Khoa Lam, Daniel Atherton
Applied Taxonomies
GMF, 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
 

7.3. Lack of capability or robustness

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
 

AI

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
 

Unintentional

Informes del Incidente

Cronología de Informes

Incident OccurrenceEl dolor era insoportable. Entonces, ¿por qué los médicos la rechazaron?Artificial Intelligence May Influence Whether You Can Get Pain MedicationSay Hello to Your Addiction Risk Score — Courtesy of the Tech Industry
El dolor era insoportable. Entonces, ¿por qué los médicos la rechazaron?

El dolor era insoportable. Entonces, ¿por qué los médicos la rechazaron?

wired.com

Artificial Intelligence May Influence Whether You Can Get Pain Medication

Artificial Intelligence May Influence Whether You Can Get Pain Medication

kffhealthnews.org

Say Hello to Your Addiction Risk Score — Courtesy of the Tech Industry

Say Hello to Your Addiction Risk Score — Courtesy of the Tech Industry

nytimes.com

El dolor era insoportable. Entonces, ¿por qué los médicos la rechazaron?
wired.com · 2021
Traducido por IA

UNA TARDE DE julio de 2020, una mujer llamada Kathryn fue al hospital con un dolor insoportable. Una estudiante de posgrado en psicología de 32 años en Michigan, Kathryn vivía con endometriosis, una condición agonizante que hace que las cél…

Artificial Intelligence May Influence Whether You Can Get Pain Medication
kffhealthnews.org · 2023

Elizabeth Amirault had never heard of a Narx Score. But she said she learned last year the tool had been used to track her medication use.

During an August 2022 visit to a hospital in Fort Wayne, Indiana, Amirault told a nurse practitioner …

Say Hello to Your Addiction Risk Score — Courtesy of the Tech Industry
nytimes.com · 2024

Before Dr. Bobby Mukkamala --- an ear, nose, and throat specialist in Michigan --- prescribed postsurgical opioids recently, he checked state records of his patient's existing controlled substance prescriptions, as legally required. A score…

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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