Risk Calculation as Experience and Action—Assessing and Managing the Risks and Opportunities of Nanomaterials

NanoEthics 9 (3):277-295 (2015)
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Abstract

Discussions about the appropriate way of assessing and managing new or emerging technologies—like nanomaterials—expose the problematic relationship between scientific knowledge production and regulatory decision-making. On one hand, there is a strong demand for scientific expertise to support decisions, especially by analyzing risks and hazards when uncertainties are prevalent and society’s stakes are high. On the other hand, science is criticized for its authoritative claim to objectivity and for keeping the inherent uncertainty, ambiguity, and selectivity of scientific observation latent. Requests for more transparency in science can lead to revealing, to risk managers and the public, the indeterminacy in knowledge production processes. This has consequences for the prevalence of scientific knowledge in decision-making, because it increases uncertainty on both sides of the breach between science and decisions: scientists lose confidence regarding the scientifically tested knowledge which they pass on, and risk managers lose confidence regarding their decisions based on this knowledge. Nonetheless, the concept of “probabilistic risk assessment” remains an important heuristic for dealing with potential future events. This paper addresses questions of the function of scientific risk assessment in organized risk management. The main argument in this paper is that knowledge alone no longer functions as a mechanism for absorbing uncertainty. Accordingly, the interaction between science and decisions must enable a temporarily stable commitment to manage new threats like products and applications coming from the field of nanoscience and nanomaterials

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References found in this work

Risk, Uncertainty and Profit.Frank H. Knight - 1921 - University of Chicago Press.
Laws of form.George Spencer-Brown - 1969 - New York,: Julian Press.
Heuristic decision making.Gerd Gigerenzer & Wolfgang Gaissmaier - 2011 - Annual Review of Psychology 62:451-482.

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