Much of the current work on AI ethics has lost its connection to the real-world impact by making AI ethics operable. There exist significant limitations of hyper-focusing on the identification of abstract ethical principles, lacking effective collaboration among stakeholders, and lacking the communication of ethical principles to real-world applications. This position paper presents challenges in making AI ethics operable and highlights key obstacles to AI ethics impact. A preliminary practice example is provided to initiate practical implementations of AI ethics. We (...) aim to inspire discussions on making AI ethics operable and focus on its impact on real-world applications. (shrink)

The automated valuation of benchmark land price plays an essential role in regulating land demand in Chinese real-estate market as the big data are currently accumulated rapidly. However, this problem becomes highly challenging due to the multidimension, large volume, and nonlinearity of the land price-influencing factors. In this paper, an effective data-driven automated valuation framework is proposed for valuing real estate assets by combining a GIS and neural network technologies. This framework can automatically obtain the values of spatial factors affecting (...) land price from GIS and generate training set data for training the neural network to identify the complex relationship between all kinds of factors and benchmark land prices. The effectiveness and universality of the framework is verified via the data of benchmark land prices in Wuhan. The framework can be applied for automated benchmark land price valuation in other cities. (shrink)

In this paper, we study the path based continuous spatial keyword queries, which find the answer set continuously when the query point moves on a given path. Under this setting, we explore two primitive spatial keyword queries, namely k nearest neighbor query and range query. The technical challenges lie in that: retrieving qualified vertices in large road networks efficiently, and issuing the query continuously for points on the path, which turns out to be inapplicable. To overcome the above challenges, we (...) first propose a backbone road network index structure, which supports the distance computation efficiently and offers a global insights of the whole road network. Motivated by the safe zone technique, we then transform our queries to the issue of finding event points, which capture the changes of answer set. By this transformation, our queries are to be simple and feasible. To answer the queries, we propose a Two-Phase Progressive computing framework, which first computes the answer sets for some crucial vertices on the path, and then identifies the event points by the retrieved answer sets. Extensive experiments on both real and synthetic data sets are conducted to evaluate the performance of our proposed algorithms, and the results show that our algorithms outperform competitors by several orders of magnitude. (shrink)

Since the late 2000s, linguistic representations of economic inequality in public discourse have aroused a heightened interest among scholars within content-analytic critical discourse analysis (CD...

A standard system, which is a powerful tool in maintaining the normal operations and development of a specific industry, is intrinsically a complex network composed of numerous standards which coordinate and interact with each other. In a networked standard system, the identification of critical standards is of great significance when drafting and revising standards. However, a majority of the existing literature has focused on the citation relationships between standards while ignoring the intrinsic interdependent relationships between the contents of standards. To (...) overcome this limitation, we utilize the text similarity approach to quantify the relationship intensity between each pair of standards, in order to generate a directed weighted network. The critical contribution of this study is that the similarity computed by the TSA is incorporated into the traditional PageRank algorithm for the identification of critical standards. The improved algorithm comprehensively considers the quantity and importance of neighboring standards and the citation intensity, as quantified by TSA. The algorithm is finally validated using the Chinese environmental health standards through comparison with the traditional PageRank algorithm and different classic measurements. (shrink)

Peer assessment is employed as one fundamental practice of classroom-based assessment in terms of its learning-oriented and formative nature. The exercise of peer assessment has multiple and additional benefits for student learning. However, research into the learning processes in peer assessment is scarce both in theory and in practice, making it difficult to evaluate and pinpoint its value as a tool in assessment as learning. This study focuses both on the learning process and outcome through assessment activities. We set out (...) with three goals in mind: to examine students' assessment performance in context, to evaluate its impact on student progress, and to illuminate teachers on organizing assessment activities. Three specific research questions are answered in this study: How do student raters perform in the process of PA in an advanced English class? To what extent do assessment activities influence the students' speaking ability? What are students' perceptions of PA regarding its benefits and caveats? A total of 29 undergraduate students participated in two assessment activities on argumentative speaking. Many-Facet Rasch Model analysis was conducted to measure the rater effects both at the group level and the individual level. Bias/interaction analyses were performed to diagnose rater behavior in different contexts including the rating session, speaking session, and peer assessment vs. self-assessment. Questionnaire and semi-structured interview data were also collected to explore factors and strategies that could interfere with PA as AaL. Results show that students exhibited stable rating behavior and made progress in argumentative speaking in all dimensions, including delivery, organization, and language use. They are more stringent with themselves than with peers although there is one rare case with a bias against peers. Participants acknowledged the benefits of PA but also shared reasonable concerns in practice. This study validated the feasibility and the effectiveness of PA for student learning. Discussion on findings and guidelines for effective implementation of PA as AaL are provided. (shrink)