Long presented as a universal policy-recipe for social prosperity and economic growth, the promise of innovation seems to be increasingly in question, giving way to a new vision of progress in which society is advanced as a central enabler of technoeconomic development. Frameworks such as “Responsible” or “Mission-oriented” Innovation, for example, have become commonplace parlance and practice in the governance of the innovation–society nexus. In this paper, we study the dynamics by which this “social fix” to technoscience has gained legitimacy (...) in institutions of global governance by investigating recent projects at two international organizations, the Organization for Economic Cooperation and Development and the European Commission, to mainstream “Responsible Innovation” frameworks and instruments across countries. Our analysis shows how the turn to societal participation in both organizations relies on a new deficit logic—a democratic deficit of innovation—that frames a lack of societal engagement in innovation governance as a major barrier to the uptake and dissemination of new technologies. These deficit politics enable global governance institutions to present “Responsible Innovation” frameworks as the solution and to claim authority over the coproduction of particular forms of democracy and innovation as intertwined pillars of a market-liberal international order. (shrink)

Like every major new technology, genetic engineering is affecting the hopes and fears of many people. The risks involved are perceived differently by different groups. One group regards genetic engineering as a simple extension of older techniques with no special risks, e.g. traditional breeding. This conservative denial of special risks is confronted with a different kind of conservatism from a group which, in the name of the preservation of nature, opposes any kind of genetic engineering. A third group, rooted in (...) the liberal tradition, is prepared to accept the risks of genetic engineering as long as they are outweighed by prospective benefits. The liberal as well as the two conservative approaches, however, face serious difficulties in trying to develop a sound ethical argument concerning genetic engineering. In order to avoid these difficulties, an ethical approach focused on paradigmatic examples of good and evil is proposed. Such examples constitute rules of moral description, much as standards of measurement constitute rules of physical description. These rules are elaborated and interpreted in processes of social learning. In the present state of development of genetic engineering, such social learning requires appropriate institutional procedures. (shrink)