ABSTRACTAs smart technologies such as artificial intelligence (AI), automation and Internet of Things (IoT) are increasingly embedded into commercial and government services, we are faced with new challenges in digital inclusion to ensure that existing inequalities are not reinforced and new gaps that are created can be addressed. Digital exclusion is often compounded by existing social disadvantage, and new systems run the risk of creating new barriers and harms. Adopting a case study approach, this paper examines the exclusionary practices embedded in the design and implementation of social welfare services in Australia. We examined Centrelink’s automated Online Compliance Intervention system (‘Robodebt’) and the National Disability Insurance Agency’s intelligent avatar interface ‘Nadia’. The two cases show how the introduction of automated systems can reinforce the punitive policies of an existing service regime at the design stage and how innovative AI systems that have the potential to enhance user participation and inclusion can be hindered at implementation so that digital benefits are left unrealised. 相似文献
The purpose of this paper is to advance the discourse on parental involvement drawing from Butlerian notion of strategic provisionality. In developing a new approach to understanding cultural differences and their relation to Korean parental involvement, the authors analyze qualitative and quantitative data from five New York metropolitan elementary schools. The authors examine the ways in which ‘Korean-ness’ and Korean parental involvement are discursively constructed and embodied in sociopolitical and historical contexts in the United States. We present two themes related to Korean parental involvement: (a) the double-edged component of respect for teachers and (b) biopolitics related to English language and parental involvement. By challenging normalized understanding about Korean-ness, the authors suggest a different approach to ethnoepistemology in order to enrich discourses concerning parental involvement and ethnic/racial studies. 相似文献
We explore a general framework in Markov chain Monte Carlo (MCMC) sampling where sequential proposals are tried as a candidate for the next state of the Markov chain. This sequential-proposal framework can be applied to various existing MCMC methods, including Metropolis–Hastings algorithms using random proposals and methods that use deterministic proposals such as Hamiltonian Monte Carlo (HMC) or the bouncy particle sampler. Sequential-proposal MCMC methods construct the same Markov chains as those constructed by the delayed rejection method under certain circumstances. In the context of HMC, the sequential-proposal approach has been proposed as extra chance generalized hybrid Monte Carlo (XCGHMC). We develop two novel methods in which the trajectories leading to proposals in HMC are automatically tuned to avoid doubling back, as in the No-U-Turn sampler (NUTS). The numerical efficiency of these new methods compare favorably to the NUTS. We additionally show that the sequential-proposal bouncy particle sampler enables the constructed Markov chain to pass through regions of low target density and thus facilitates better mixing of the chain when the target density is multimodal.
Recently, consumer researchers have been interested in rituals that concisely express the consumption system in a culture. This article studies the Korean wedding ritual. The particular focus is on consumer values, needs, and expenditures related to Korean weddings. Research hypotheses were developed by analyzing the consumption phenomena in a sociocultural context and using focus groups and in-depth interviews. The author suggests that hedonic values relating to wedding rituals influence conspicuous and female-focused consumption. Implications of the study and further consumption research issues are discussed. 相似文献