AI ethics in May 2015

According to recent research, university not only has the role to educate and train students, it also has the role to select the best students. We argue that this function of selection disadvantages first-generation students, in comparison with continuing-generation students. Thus, the mere activation of the function of selection should be sufficient to produce achievement differences between first-generation and continuing-generation students in a novel academic task. Furthermore, we propose th

"Classical peer review" has been subject to intense criticism for slowing down the publication process, bias against specific categories of paper and author, unreliability, inability to detect errors and fraud, unethical practices, and the lack of recognition for unpaid reviewers. This paper surveys innovative forms of peer review that attempt to address these issues. Based on an initial literature review, we construct a sample of 82 channels of scientific communication covering all forms of rev

BACKGROUND: Cognitive remediation (CR) is a psychological therapy, effective in improving cognitive performance and functioning in people with schizophrenia. As the therapy becomes more widely implemented within mental health services its longevity and uptake is likely to depend on its feasibility and acceptability to service users and clinicians. AIMS: To assess the feasibility and acceptability of a new strategy-based computerized CR programme (CIRCuiTS) for people with psychosis. METHOD: Four

BACKGROUND: The partograph is currently the main tool available to support decision-making of health professionals during labour. However, the rate of appropriate use of the partograph is disappointingly low. Apart from limitations that are associated with partograph use, evidence of positive impact on labour-related health outcomes is lacking. The main goal of this study is to develop a Simplified, Effective, Labour Monitoring-to-Action (SELMA) tool. The primary objectives are: to identify the

Recent technological developments like cheap sensors and the decreasing costs of computational power have brought the possibility of robotic home companions within reach. In order to be accepted it is vital for these robots to be able to participate meaningfully in social interactions with their users and to make them feel comfortable during these interactions. In this study we investigated how people respond to a situation where a companion robot is watching its user. Specifically, we tested th

In the social sciences, there is a longstanding tension between data collection methods that facilitate quantification and those that are open to unanticipated information. Advances in technology now enable new, hybrid methods that combine some of the benefits of both approaches. Drawing inspiration from online information aggregation systems like Wikipedia and from traditional survey research, we propose a new class of research instruments called wiki surveys. Just as Wikipedia evolves over tim

In this study, we investigated the effect of five feature selection approaches on the performance of a mixed model (G-BLUP) and a Bayesian (Bayes C) prediction method. We predicted height, high density lipoprotein cholesterol (HDL) and body mass index (BMI) within 2,186 Croatian and into 810 UK individuals using genome-wide SNP data. Using all SNP information Bayes C and G-BLUP had similar predictive performance across all traits within the Croatian data, and for the highly polygenic traits heig

There is remarkable diversity in brain size among vertebrates, but surprisingly little is known about how ecological species interactions impact the evolution of brain size. Using guppies, artificially selected for large and small brains, we determined how brain size affects survival under predation threat in a naturalistic environment. We cohoused mixed groups of small- and large-brained individuals in six semi-natural streams with their natural predator, the pike cichlid, and monitored surviva

In this paper I argue that we can no longer afford to ignore technology’s so-called ‘soft’ impacts, as this type of impact is becoming increasingly prominent in affluent societies where people have sufficient resources to pursue self-realization and where technologies are becoming more and more ‘intimate’ as they pervade our life world. These soft impacts come with their own type of normative challenges. The first challenge is to acknowledge the mutual shaping of technology and morality that cau

This study aims to characterize and classify serum surface-enhanced Raman spectroscopy (SERS) spectra between bladder cancer patients and normal volunteers by genetic algorithms (GAs) combined with linear discriminate analysis (LDA). Two group serum SERS spectra excited with nanoparticles are collected from healthy volunteers (n = 36) and bladder cancer patients (n = 55). Six diagnostic Raman bands in the regions of 481-486, 682-687, 1018-1034, 1313-1323, 1450-1459 and 1582-1587 cm(-1) related t

BACKGROUND: Open-ended questions eliciting free-text comments have been widely adopted in surveys of patient experience. Analysis of free text comments can provide deeper or new insight, identify areas for action, and initiate further investigation. Also, they may be a promising way to progress from documentation of patient experience to achieving quality improvement. The usual methods of analyzing free-text comments are known to be time and resource intensive. To efficiently deal with a large a

Abstract Advances in unconventional oil and gas production and the possible adoption of a more effective international climate policy may impact on supply–demand balances in the petroleum sector, causing shifts in financial flows and capital accumulation. Such changes may in turn lead to shifts in the power balance between oil and gas exporting and importing countries. Because the relationship between exporting and importing countries in the petroleum sector is asymmetric, with a few exporting c

This paper documents the creation, implementation and analysis of a survey instrument designed to reveal patterns of use and attitudes towards the value of social media by UK teachers. The study was motivated to discover which teachers use social media professionally, how they use it (both personally and professionally) and attitudes to social media as a professional tool (for their students' and their own professional use). The instrument was created from verbal data from two focus group discus

Diagnosis of psychiatric disorders based on brain imaging data is highly desirable in clinical applications. However, a common problem in applying machine learning algorithms is that the number of imaging data dimensions often greatly exceeds the number of available training samples. Furthermore, interpretability of the learned classifier with respect to brain function and anatomy is an important, but non-trivial issue. We propose the use of logistic regression with a least absolute shrinkage an

Death of the PostHuman undertakes a series of critical encounters with the legacy of what had come to be known as 'theory,' and its contemporary supposedly post-human aftermath. There can be no redemptive post-human future in which the myopia and anthropocentrism of the species finds an exit and manages to emerge with ecology and life. At the same time, what has come to be known as the human - despite its normative intensity - can provide neither foundation nor critical lever in the Anthropocene