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An integrated approach to oversight assessment for emerging technologies
Jennifer Kuzma1, Jordan Paradise, Gurumurthy Ramachandran
1Center for Science, Technology, and Public Policy, Hubert H. Humphrey Institute, University of Minnesota, 301-19th Ave. S., Minneapolis, MN 55455, USA. kuzma007@umn.edu
This study introduces integrated oversight assessment, a multidisciplinary approach to evaluate oversight systems for emerging technologies. It provides a robust framework for analyzing how these systems develop, function, and impact society.
Area of Science:
- Science and Technology Policy
- Risk Analysis
- Social Science
Background:
- Oversight system analysis often lacks a multidisciplinary perspective and uses limited evaluation criteria.
- Existing methods struggle to comprehensively assess complex oversight mechanisms for emerging technologies.
Purpose of the Study:
- To develop a multidisciplinary approach for assessing oversight systems.
- To create a broad set of criteria for evaluating the oversight of emerging technologies.
Main Methods:
- Integrated oversight assessment combines risk analysis, social science, public administration, legal, public policy, and ethical perspectives.
- Employed historical analysis, expert elicitation, and behavioral consensus methods.
- Refined 66 initial criteria into 28 operative criteria across four categories: development, attributes, evolution, and outcomes.
Main Results:
- Developed 28 multidisciplinary criteria for evaluating oversight systems, categorized into development (7), attributes (15), outcomes (5), and evolution (1).
- The criteria provide a framework to understand the dynamics and societal effects of oversight systems.
- The approach, termed 'integrated oversight assessment,' facilitates analysis of features, outcomes, and tradeoffs.
Conclusions:
- Integrated oversight assessment offers a defensible, evidence-supported tool for analyzing oversight systems.
- This framework can guide the development of effective oversight for emerging technologies like nanotechnology.
- Consistent application of these criteria to historical cases will yield valuable lessons for future oversight design.
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