Value-laden risk assessment and biotechnology regulation in Canada
dc.contributor.advisor | Dayton, Eric | en_US |
dc.contributor.committeeMember | Phillips, Peter W. B. | en_US |
dc.contributor.committeeMember | Hoffman, Sarah | en_US |
dc.contributor.committeeMember | Buschert, William | en_US |
dc.creator | Ahmad, Rana Amber | en_US |
dc.date.accessioned | 2003-09-12T00:04:05Z | en_US |
dc.date.accessioned | 2013-01-04T04:57:29Z | |
dc.date.available | 2004-09-17T08:00:00Z | en_US |
dc.date.available | 2013-01-04T04:57:29Z | |
dc.date.created | 2003-08 | en_US |
dc.date.issued | 2003-08-29 | en_US |
dc.date.submitted | August 2003 | en_US |
dc.description.abstract | Canada’s regulatory system is science-based and relies on risk assessment to inform decisions about which products of biotechnology (and other technologies) are safe enough for commercial application. Since regulation involves the loss of certain liberties, it is imperative that any regulatory regime be as objective as possible. Scientific risk assessment seems to be a good way to produce the information, which guides policy makers since it involves quantitative analysis and the production of seemingly objective data.The view adopted by regulators and in current risk assessment practices is that objective means value-free. Therefore, because risk assessment data is scientific it is thought to be value-free but this is not the case. Risk assessment necessarily involves value assumptions. Assumptions must be made at all stages of the production of risk data. This does not mean, however, that risk assessment is hopelessly subjective. The notion of value-free objectivity can be replaced with the view that genuine objectivity arises through peer review and social discourse. Regulators can adopt this understanding of objectivity to acknowledge the value-ladenness of risk assessment data.At present, the value assumptions made by industry, government and private scientists during risk assessment go largely unnoticed yet have an effect on the outcome of regulatory decisions. Such assumptions must be recognized in order to ensure that the decisions made about the risks society face are not biased. This is particularly true in the case of biotechnology regulation. The development of the science of biotechnology has occurred concurrently with the development of the biotech industry creating the opportunity for industry-biased risk assessments.It is possible to make changes to the existing regulatory regime in Canada in order to avoid some of the major problems associated with unrecognized value assumptions in risk assessment. A complete restructuring of the regime is unnecessary, however. Maintaining the current regulatory structure with some minor changes could address these problems. These changes include: creating an independent review board, making explicit that value assumptions are part of risk assessment in government advisory reports, and enhancing the role of regulators. Canada’s regulatory system can better address the risks associated with biotechnology if it acknowledges that risk assessment is value-laden. | en_US |
dc.identifier.uri | http://hdl.handle.net/10388/etd-09122003-000405 | en_US |
dc.language.iso | en_US | en_US |
dc.subject | rbGH | en_US |
dc.subject | Alachlor | en_US |
dc.subject | philosophical nature of risk | en_US |
dc.subject | biotech industry | en_US |
dc.subject | value assumptions | en_US |
dc.subject | Canadian Food Inspection Agency | en_US |
dc.subject | Canadian Biotechnology Advisory Council | en_US |
dc.subject | Roundup Ready | en_US |
dc.subject | genetically modified wheat | en_US |
dc.subject | transgenic | en_US |
dc.subject | gmo | en_US |
dc.title | Value-laden risk assessment and biotechnology regulation in Canada | en_US |
dc.type.genre | Thesis | en_US |
dc.type.material | text | en_US |
thesis.degree.department | Philosophy | en_US |
thesis.degree.discipline | Philosophy | en_US |
thesis.degree.grantor | University of Saskatchewan | en_US |
thesis.degree.level | Masters | en_US |
thesis.degree.name | Master of Arts (M.A.) | en_US |