Comparative, collaborative, and integrative risk governance for emerging technologies

Area of Science:

• Science and Technology Governance
• Emerging Technology Risk Assessment
• Societal Implications of Innovation

Background:

• Existing risk-based paradigms are insufficient for high-uncertainty emerging technologies (e.g., nanotechnology, synthetic biology, artificial intelligence).
• Novel technologies present unique challenges in identification, assessment, and management of potential risks.
• A complementary approach is needed to address the early-stage assessment and management of these complex innovations.

Purpose of the Study:

• To propose a comprehensive risk governance framework for emerging technologies.
• To advocate for integrating quantitative data with qualitative expert judgment in risk assessment.
• To guide policymakers in evaluating the societal and health impacts of nascent technologies.

Main Methods:

• Developing a multi-stakeholder risk governance process.
• Incorporating diverse information sources, including experimental data and expert insights.
• Establishing comparative assessments against conventional technologies and products.
• Reviewing various endpoints and outcomes to characterize risks and benefits.

Main Results:

• The proposed approach facilitates the characterization and balancing of risks, benefits, costs, and societal implications.
• It provides a structured method for evaluating emerging technologies when quantitative risk data is limited.
• Enables informed decision-making for policymakers regarding human and environmental health impacts.

Conclusions:

• A hybrid risk governance model, combining quantitative and qualitative methods, is essential for emerging technologies.
• Multi-stakeholder involvement and diverse data integration are crucial for effective risk management.
• This framework supports responsible innovation and policy development for technologies with high uncertainty.