Regulation

A causal Bayesian network approach for consumer product safety and risk assessment

December, 2021

Highlights

• Describes a novel causal Bayesian network approach for systematic product risk assessment.

• The approach resolves some limitations with current commonly used product risk assessment methods.

• The approach complements product risk assessment methods like RAPEX.

• The approach can produce quantified, auditable product risk assessment with limited or no testing data.

Abstract

Algorithmic Systems, Opportunity, and Civil Rights - 2016 United States White House Report

CECILIA MUÑOZ - Director Domestic Policy Council

MEGAN SMITH - U.S. Chief Technology Officer; Office of Science and Technology Policy

DJ PATIL - Deputy Chief Technology Officer for Data Policy and Chief Data Scientist Office of Science and Technology Policy

May, 2016

PREFACE

Perspectives on Big Data, Ethics, and Society

Jacob Metcalf, Emily F. Keller, Danah Boyd

Abstract:

The Council for Big Data, Ethics, and Society was convened to bring together researchers from diverse fields who were thinking deeply about ethical, social and policy challenges associated with the rise of “big data” research and industry, with an eye toward developing recommendations about future directions for the field. 

 

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