对新兴技术进行比较,协作和整合风险治理
Igor Linkov1, Benjamin D Trump1, Elke Anklam2
1Risk & Decision Science Team, Environmental Risk Assessment Branch, US Army Engineer Research and Development Center, 696 Virginia Road, Concord, MA 01742, USA.
概括
新兴技术需要一种新的风险治理方法. 将专家的见解与数据相结合,有助于管理人工智能和合成生物学等新技术的风险.
科学领域:
- 科学和技术治理 科学和技术治理
- 新兴技术风险评估新兴技术风险评估
- 创新的社会影响 创新的社会影响
背景情况:
- 对于高不确定性新兴技术 (例如纳米技术,合成生物学,人工智能),现有的基于风险的范式是不够的.
- 新技术在识别,评估和管理潜在风险方面带来了独特的挑战.
- 需要一种互补的方法来解决这些复杂的创新的早期评估和管理.
研究的目的:
- 为新兴技术提出一个全面的风险治理框架.
- 倡导在风险评估中将定量数据与定性专家判断相结合.
- 引导决策者评估新兴技术对社会和健康的影响.
主要方法:
- 开发一个多利益相关者风险治理流程.
- 结合各种信息来源,包括实验数据和专家见解.
- 建立与传统技术和产品的比较评估.
- 审查各种终点和结果,以描述风险和收益.
主要成果:
- 拟议的方法促进了风险,利益,成本和社会影响的表征和平衡.
- 它提供了一个结构化的方法来评估新兴技术,当定量风险数据是有限的.
- 能够为决策者提供有关人类和环境健康影响的知情决策.
结论:
- 混合风险治理模型,结合定量和定性方法,对于新兴技术至关重要.
- 多方利益相关者的参与和多样化的数据集成对于有效的风险管理至关重要.
- 该框架支持负责任的创新和对高不确定性技术的政策制定.
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