Science and engineering ethics
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In the internet era spam has become a big problem. Researchers are troubled with unsolicited or bulk spam emails inviting them to publish. However, this strategy has helped predatory journals hunt their prey and earn money. ⋯ Predatory journals and publishers are often based in developing countries, and they potentially target researchers from these counties by using different tactics identified in previous research. In response to the spread of predatory publishing, scientists are trying to develop criteria and guidelines to help avoid them-for example, the recently reported "predatory rate". This article attempts to (a) highlight the strategies used by predatory journals to convince researchers to publish with them, (b) report their article processing charges, (c) note their presence in Jeffrey Beall's List of Predatory Publishers, (d) rank them based on the predatory rate, and (e) put forward suggestions for junior researchers (especially in developing counties), who are the most likely targets of predatory journals.
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Recently, there has been an upsurge of attention focused on bias and its impact on specialized artificial intelligence (AI) applications. Allegations of racism and sexism have permeated the conversation as stories surface about search engines delivering job postings for well-paying technical jobs to men and not women, or providing arrest mugshots when keywords such as "black teenagers" are entered. Learning algorithms are evolving; they are often created from parsing through large datasets of online information while having truth labels bestowed on them by crowd-sourced masses. ⋯ This paper describes specific examples of how bias has infused itself into current AI and robotic systems, and how it may affect the future design of such systems. More specifically, we draw attention to how bias may affect the functioning of (1) a robot peacekeeper, (2) a self-driving car, and (3) a medical robot. We conclude with an overview of measures that could be taken to mitigate or halt bias from permeating robotic technology.
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This study investigated the status quo of article retractions by Chinese researchers. The bibliometric information of 834 retractions from the Web of Science SCI-expanded database were downloaded and analysed. The results showed that the number of retractions increased in the past two decades, and misconduct such as plagiarism, fraud, and faked peer review explained approximately three quarters of the retractions. ⋯ In addition, a majority of Chinese fraudulent authors seemed to aim their articles which contained a possible misconduct at low-impact journals, regardless of the types of misconduct. The system of scientific evaluation, the "publish or perish" pressure Chinese researchers are facing, and the relatively low costs of scientific integrity may be responsible for the scientific integrity. We suggested more integrity education and severe sanctions for the policy-makers, as well as change in the peer review system and transparent retraction notices for journal administrators.