Bias Remediation Policy

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a policy formed in accordance with Relevant Legal Frameworks, equality and anti-discrimination law that considers the scope, nature, context and purpose of the AI, algorithmic and autonomous system. Encompassing processes such as data inputs, architectural inputs and outcomes and taking note of the Data Quality, Information Quality and Pipeline Quality to identify:
a) Metrics, thresholds and procedures designed to consider data prior to processing
b) Metrics, threshold and procedures to examine architectural inputs for Bias
c) Metrics, thresholds and procedure to examine outputs for fairness and compliance with Relevant Legal Framework
d) Procedures for evaluation of Pipeline Quality, Human-in/on-the-Loop interfaces
e) Procedure for evaluation of Cognitive and Non-Response Bias
f) Frequency of review (a) thru (e)

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