A framework of attitudes towards technology in theory and practice

Kerschner, Christian; Ehlers, Melf-Hinrich

doi:10.1016/j.ecolecon.2016.02.010

Cited by 73 publications

(41 citation statements)

References 67 publications

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“…Herders with such negative attitudes were more likely to refuse WL (Sulemana and James 2014;Marques et al 2015;Hammes et al 2016). Some researchers have shown that herder attitude played an important role in helping or hindering individual adoption of new technologies (Subedi et al 2009;Kerschner and Ehlers 2016).…”

Section: Discussionmentioning

confidence: 99%

Factors affecting herder adoption of winter lambing practices in the desert steppe region of Inner Mongolia, China

Yin

Wang

et al. 2018

Rangel. J.

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Abstract. Although winter lambing practices (WL) have been shown to be a 'win-win' strategy for reducing the degradation of grasslands and improving herder livelihood in the pastoral regions of China, the adoption rate is still low. A survey was conducted to explore herders' opinions of WL and other factors which influenced the adoption in the desert steppe region of Inner Mongolia, China. Herders who have spring lambing practices generally hold unfavourable opinions about WL. Most have only heard about WL but did not understand the detailed information of implementation or how it increases income. Herder ethnical background, distance to market and neighbours' choices significantly affected the adoption rate. Han herders were more likely to adopt WL than Mongolian herders. Proximity to market led herders to be more market-focused and to adopt WL. Herders were more inclined to make the same choices as their neighbours. The results showed that herders were prepared to change and were carefully assessing the gains and losses of adopting WL. Results had implications for improving the adoption rate for WL and other livestock management practices in China.

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Section: Discussionmentioning

confidence: 99%

Factors affecting herder adoption of winter lambing practices in the desert steppe region of Inner Mongolia, China

Yin

Wang

et al. 2018

Rangel. J.

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“…The techno-utopia of a world ruled by friendly superintelligence reveals extreme technological enthusiasm and technocracy, inKerschner and Ehlers' (2016) terminology. Technocracy is also apparent in moves to avoid public implication in this issue (Supplementary Material).…”

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confidence: 99%

“…This is a strong instance of technocracy (terminology in[8]), as a one-sided attempt to develop a device expected to replace human governance. One alleged motivation is to crowd out a possible hostile superintelligence.…”

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confidence: 99%

“…Technocratic strategies are frequent in this field, as apparent also from notes 3-6.2 Transhumanists advocate the use of technology to radically alter the human condition in biological and other aspects[14]. It is an instance of technological enthusiasm and technocracy (terminology in[8]). 3 This is another technocratic move (see note 1), considering the statement in[15], p. 62: We believe AAAI and AI researchers should take a leading role in dealing with the moral, ethical, and legal issues involving AI systems (and not leave it to others!…”

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confidence: 99%

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Growth, degrowth, and the challenge of artificial superintelligence

Pueyo

2018

Journal of Cleaner Production

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The implications of technological innovation for sustainability are becoming increasingly complex with information technology moving machines from being mere tools for production or objects of consumption to playing a role in economic decision making. This emerging role will acquire overwhelming importance if, as a growing body of literature suggests, artificial intelligence is underway to outperform human intelligence in most of its dimensions, thus becoming superintelligence. Hitherto, the risks posed by this technology have been framed as a technical rather than a political challenge. With the help of a thought experiment, this paper explores the environmental and social implications of superintelligence emerging in an economy shaped by neoliberal policies. It is argued that such policies exacerbate the risk of extremely adverse impacts. The experiment also serves to highlight some serious flaws in the pursuit of economic efficiency and growth per se, and suggests that the challenge of superintelligence cannot be separated from the other major environmental and social challenges, demanding a fundamental transformation along the lines of degrowth. Crucially, with machines outperforming them in their functions, there is little reason to expect economic elites to be exempt from the threats that superintelligence would pose in a neoliberal context, which opens a door to overcoming vested interests that stand in the way of social change toward sustainability and equity.

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“…According to Wynne (2006) however, the deficit mode of thinking remains; although education is replaced with participation, the aim is still to prevent unfavourable attitudes rather than truly give control to the public. Second, the deficit model continues to remain popular among technical experts and policymakers (Kerschner & Ehlers, 2016). Consequently, much current science communication is still influenced by the deficit model (Miller, 2001;Bauer, Allum, & Miller, 2007;Durant, 1999;Bauer, 2016).…”

Section: Evolution and Limitation Of The Dominant Approach In Sciencementioning

confidence: 99%

Naming is framing: the public understanding of scientific names

Boersma¹

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A framework of attitudes towards technology in theory and practice

Cited by 73 publications

References 67 publications

Factors affecting herder adoption of winter lambing practices in the desert steppe region of Inner Mongolia, China

Factors affecting herder adoption of winter lambing practices in the desert steppe region of Inner Mongolia, China

Growth, degrowth, and the challenge of artificial superintelligence

Naming is framing: the public understanding of scientific names

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