Bias Detection

Real-time bias detection across demographics — FDA AI/ML Guidelines Section IV.B compliance.

POST /detect-bias

Detect bias in a single decision across demographic subgroups.

Request

{
  "decision_id": "string",
  "subgroups": {
    "gender": "string",
    "age_group": "string",
    "ethnicity": "string",
    "custom": {}
  }
}
Field
Type
Required
Description

decision_id

string

Decision to analyze

subgroups

object

Demographic attributes

subgroups.gender

string

Gender category

subgroups.age_group

string

Age bracket

subgroups.ethnicity

string

Ethnicity category

subgroups.custom

object

Custom subgroups

Response

Bias Types

Type
Description

accuracy_disparity

AI accuracy varies by group

representation_disparity

Group underrepresented

treatment_disparity

Different recommendations for similar cases

Severity Levels

Severity
Criteria

high

Disparity >20% OR >100 users affected

medium

Disparity 10-20% OR 50-100 users affected

low

Disparity <10% OR <50 users affected

Example


GET /bias/feed

Real-time feed of bias alerts (Texas TRAIGA § 2056.103).

Request

Param
Type
Required
Description

severity

string

Filter by severity (high/medium/low)

limit

number

Max results (default: 50)

Response

Example


GET /bias/subgroups

Subgroup performance analysis (FDA AI/ML Guidelines Section IV).

Request

Param
Type
Required
Description

days

number

Time window (default: 30)

Response

Example


SDK Examples

JavaScript

Python


Next: Audit Trail API

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