Ethical Challenges in Data-Driven Dialogue Systems

The use of dialogue systems as a medium for human-machine interaction is an increasingly prevalent paradigm. A growing number of dialogue systems use conversation strategies that are learned from large datasets. There are well documented instances where interactions with these system have resulted in biased or even offensive conversations due to the data-driven training process. Here, we highlight potential ethical issues that arise in dialogue systems research, including: implicit biases in data-driven systems, the rise of adversarial examples, potential sources of privacy violations, safety concerns, special considerations for reinforcement learning systems, and reproducibility concerns. We also suggest areas stemming from these issues that deserve further investigation. Through this initial survey, we hope to spur research leading to robust, safe, and ethically sound dialogue systems.Comment: In Submission to the AAAI/ACM conference on Artificial Intelligence, Ethics, and Societ

Computerized Evaluatution of Microsurgery Skills Training

The style of imparting medical training has evolved, over the years. The traditional methods of teaching and practicing basic surgical skills under apprenticeship model, no longer occupy the first place in modern technically demanding advanced surgical disciplines like neurosurgery. Furthermore, the legal and ethical concerns for patient safety as well as cost-effectiveness have forced neurosurgeons to master the necessary microsurgical techniques to accomplish desired results. This has lead to increased emphasis on assessment of clinical and surgical techniques of the neurosurgeons. However, the subjective assessment of microsurgical techniques like micro-suturing under the apprenticeship model cannot be completely unbiased. A few initiatives using computer-based techniques, have been made to introduce objective evaluation of surgical skills. This thesis presents a novel approach involving computerized evaluation of different components of micro-suturing techniques, to eliminate the bias of subjective assessment. The work involved acquisition of cine clips of micro-suturing activity on synthetic material. Image processing and computer vision based techniques were then applied to these videos to assess different characteristics of micro-suturing viz. speed, dexterity and effectualness. In parallel subjective grading on these was done by a senior neurosurgeon. Further correlation and comparative study of both the assessments was done to analyze the efficacy of objective and subjective evaluation

Automatic Segmentation of the Mandible for Three-Dimensional Virtual Surgical Planning

Three-dimensional (3D) medical imaging techniques have a fundamental role in the field of oral and maxillofacial surgery (OMFS). 3D images are used to guide diagnosis, assess the severity of disease, for pre-operative planning, per-operative guidance and virtual surgical planning (VSP). In the field of oral cancer, where surgical resection requiring the partial removal of the mandible is a common treatment, resection surgery is often based on 3D VSP to accurately design a resection plan around tumor margins. In orthognathic surgery and dental implant surgery, 3D VSP is also extensively used to precisely guide mandibular surgery. Image segmentation from the radiography images of the head and neck, which is a process to create a 3D volume of the target tissue, is a useful tool to visualize the mandible and quantify geometric parameters. Studies have shown that 3D VSP requires accurate segmentation of the mandible, which is currently performed by medical technicians. Mandible segmentation was usually done manually, which is a time-consuming and poorly reproducible process. This thesis presents four algorithms for mandible segmentation from CT and CBCT and contributes to some novel ideas for the development of automatic mandible segmentation for 3D VSP. We implement the segmentation approaches on head and neck CT/CBCT datasets and then evaluate the performance. Experimental results show that our proposed approaches for mandible segmentation in CT/CBCT datasets exhibit high accuracy

Кибербезопасность в образовательных сетях

The paper discusses the possible impact of digital space on a human, as well as human-related directions in cyber-security analysis in the education: levels of cyber-security, social engineering role in cyber-security of education, “cognitive vaccination”. “A Human” is considered in general meaning, mainly as a learner. The analysis is provided on the basis of experience of hybrid war in Ukraine that have demonstrated the change of the target of military operations from military personnel and critical infrastructure to a human in general. Young people are the vulnerable group that can be the main goal of cognitive operations in long-term perspective, and they are the weakest link of the System.У статті обговорюється можливий вплив цифрового простору на людину, а також пов'язані з людиною напрямки кібербезпеки в освіті: рівні кібербезпеки, роль соціального інжинірингу в кібербезпеці освіти, «когнітивна вакцинація». «Людина» розглядається в загальному значенні, головним чином як та, що навчається. Аналіз надається на основі досвіду гібридної війни в Україні, яка продемонструвала зміну цілей військових операцій з військовослужбовців та критичної інфраструктури на людину загалом. Молодь - це вразлива група, яка може бути основною метою таких операцій в довгостроковій перспективі, і вони є найслабшою ланкою системи.В документе обсуждается возможное влияние цифрового пространства на человека, а также связанные с ним направления в анализе кибербезопасности в образовании: уровни кибербезопасности, роль социальной инженерии в кибербезопасности образования, «когнитивная вакцинация». «Человек» рассматривается в общем смысле, в основном как ученик. Анализ представлен на основе опыта гибридной войны в Украине, которая продемонстрировала изменение цели военных действий с военного персонала и критической инфраструктуры на человека в целом. Молодые люди являются уязвимой группой, которая может быть главной целью когнитивных операций в долгосрочной перспективе, и они являются самым слабым звеном Систем

MS

thesisAs case-based learning (CBL) via computer-assisted instruction becomes a burgeoning instructional method within medical education, its pedagogical value must be ascertained. In particular, the relative efficacy of specific instructional elements that comprise the CBL methodology must be determined. For example, numerous laboratory studies have proposed conditions that may facilitate knowledge transfer via analogy (case-based reasoning). However, few of these methods have been evaluated in complex learning environments such as medicine. The study included in this thesis, The Medulator™ Analogical Reasoning Study"" (MARS), employed an online patient simulation application to evaluate several potential methods for the optimization of learning by clinical novices (i.e., medical students). Medulator™, a commercial Web-based patient simulation application, was modified to test the effects of case sequencing, explicit case comparison, and user-generated case summaries on user performance. Senior medical students self-enrolled via the Internet and were randomized to complete analogous sets of virtual patient cases in different sequences, with or without an explicit analogical reasoning exercise being invoked for analogous case pairs and with or without the ability to generate user-authored case summaries. Specific aspects of their case performance were then tracked. A brief follow-up user survey was conducted to determine overall satisfaction with the online CBL approach and to determine perceived value of the analogical reasoning component. A significant effect of case sequencing on analogy transfer was seen only with respect to correct treatment scores (p = .009). Explicit case comparison had no reliable effect on performance. However, diagnostic accuracy increased (p = .002) while treatment attempts decreased (p = .05) when subjects were prompted to write case summaries. The additional time needed to write case summaries was not statistically significant (p = .12). Overall, user satisfaction with the Medulator™ was excellent. However, high perceived value of the analogical reasoning component was not supported by measured results. Manipulating case sequences and supporting explicit case comparison yielded mixed results, suggesting that these methods afford instructional value only under specific learning conditions. However, using case summaries as a tool for reflection and proxy for self-explanation led to significant early and sustained improvement in students' performance."

Developing/testing a new approach for assessing rapid visual identification of hematological cells using principles of visual cognition: a health science education study

The purpose of this study was the development and testing of a novel method for assessment of white blood cell (WBC) identification skills used in the field of Clinical Laboratory Sciences (CLS). A dual format exam was administered to both novices (students) and experts (laboratory professionals). Format 1 was similar to current assessment formats, simply presenting a series of single WBC images for identification. Format 2 applied principles of visual cognition, grouping WBCs for identification by patient and presenting multiple example images from the patient before requesting identification of individual cells. This novel exam format was intended to: (a) provide a contextualized visual background for single cell identifications, (b) mirror the process of WBC identification used in clinical practice, and (c) promote improved performance on difficult/atypical WBC identifications. The second phase of this study implemented qualitative methods to categorize the general cognitive processing styles used by novices/experts as either analytical or similarity-based. Cognitive processing styles were compared across the 2 levels of expertise as well as across exam formats. Statistical analyses did suggest that expert performance levels were significantly improved by the novel exam presentation format. Novice performance, however, was not significantly altered by exam format. Evaluation of response times indicated that expert response times were significantly shorter than novice response times in format 2, but not in format 1. In addition, analysis of qualitative data suggested that experts differed significantly from novices in their cognitive verbalizations for format 2, with experts making more statements at a higher cognitive level than did the novices. Format 1 verbalization differences were not found to be significant. Overall results indicated that the novel exam format invoked experts to implement similarity-based processing, allowing some identifications to be made at the level of the patient case, rather than simply at the feature identification level. Implications of this study include possible alterations to current certification/proficiency exam formats for questions requiring the visual identification of white blood cells. This study also suggests that using patient image sets as instructional stimuli may encourage the development of advanced cognitive processing skills in students

Utility of Non-rule-based Visual Matching as a Strategy to Allow Novices to Achieve Skin Lesion Diagnosis

Non-analytical reasoning is thought to play a key role in dermatology diagnosis. Considering its potential importance, surprisingly little work has been done to research whether similar identification processes can be supported in non-experts. We describe here a prototype diagnostic support software, which we have used to examine the ability of medical students (at the beginning and end of a dermatology attachment) and lay volunteers, to diagnose 12 images of common skin lesions. Overall, the non-experts using the software had a diagnostic accuracy of 98% (923/936) compared with 33% for the control group (215/648) (Wilcoxon p < 0.0001). We have demonstrated, within the constraints of a simplified clinical model, that novices’ diagnostic scores are significantly increased by the use of a structured image database coupled with matching of index and referent images. The novices achieve this high degree of accuracy without any use of explicit definitions of likeness or rule-based strategies

2007 IMSAloquium, Student Investigation Showcase

In conjunction with IMSA\u27s 20th Anniversary and to better represent and capture the sophistication and quality of the students\u27 exemplary investigations, IMSAIoquium: Student Investigation Showcase was developed as the new name for what has previously been termed Presentation Day.https://digitalcommons.imsa.edu/archives_sir/1015/thumbnail.jp