Archive · 2016-01-01
AI ethics on Friday, 1 January 2016
23 items published this day, across 1 categories.
Research (23)
Adverse Outcome Pathway Wiki RDF
<p>This dataset is the RDF generated from the AOP-Wiki data release (<a href="https://aopwiki.org/downloads">aopwiki.org/downloads</a>). It was generated using a Jupyter notebook that is available on GitHub (<a href="https://github.com/marvinm2/AOPWikiRDF">github.com/marvinm2/AOPWikiRDF</a>), and the process and additional description of the RDF have been published (<a href="https://doi.org/10.1089/aivt.2021.0010"&g
Multispecies Studies
Scholars in the humanities and social sciences are experimenting with novel ways of engaging with worlds around us. Passionate immersion in the lives of fungi, microorganisms, animals, and plants is opening up new understandings, relationships, and accountabilities. This introduction to the special issue offers an overview of the emerging field of multispecies studies. Unsettling given notions of species, it explores a broad terrain of possible modes of classifying, categorizing, and paying atte
Autonomous Vehicle Technology: A Guide for Policymakers
Self-driving vehicles offer the promise of significant benefits to society, but raise several policy challenges, including the need to update insurance liability regulations and privacy concerns such as who will control the data generated by this technology.
Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
An e-Learning Theoretical Framework.
Aparício, M., Bacao, F., & Oliveira, T. (2016). An e-learning theoretical framework. Educational Technology and Society, 19(1), 292-307. DOI: http://www.jstor.org/stable/jeductechsoci.19.1.292
Internet of Robotic Things: Concept, Technologies, and Challenges
Internet of Things allow massive number of uniquely addressable “things” to communicate with each other and transfer data over existing internet or compatible network protocols. This paper proposes a new concept which tackles the issues for supporting control and monitoring activities at deployment sites and industrial automations, where intelligent things can monitor peripheral events, induce sensor data acquired from a variety of sources, use ad hoc, local, and distributed “machine intelligenc
Building a Better Description
Universally practiced across the disciplines, description is also consistently devalued or overlooked. In this introduction to the special issue “Description Across Disciplines,” Sharon Marcus, Heather Love, and Stephen Best propose that description is a critical practice more complex (and less contradictory) than its detractors have taken it to be. They argue that turning critical attention toward description’s nuances gives us access to the ways that scholars conventionally assign and withhold
Talking to Bots: Symbiotic Agency and the Case of Tay
Mobility in Old Age: Capacity Is Not Performance
BACKGROUND: Outcomes of laboratory-based tests for mobility are often used to infer about older adults' performance in real life; however, it is unclear whether such association exists. We hypothesized that mobility capacity, as measured in the laboratory, and mobility performance, as measured in real life, would be poorly linked. METHODS: The sample consisted of 84 older adults (72.5 ± 5.9 years). Capacity was assessed via the iTUG and standard gait parameters (stride length, stride velocity, a
Antitrust and the Robo-Seller: Competition in the Time of Algorithms
car_ride_services.single.html(endorsing arguments for regulation
Motion Planning and Control of Autonomous Driving Intelligence System Based on Risk Potential Optimization Framework
This study proposes a motion planning and control system based on collision risk potential prediction characteristics of experienced drivers. Recently, automatic braking systems have been deployed in current automotive markets. However, the existing systems cannot avoid collisions in critical scenario such as a pedestrian suddenly darting out from a poor-visibility blind corner. By optimizing the potential field function in the framework of optimal control theory, the desired yaw rate and the de
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Is Having Your Computer Compromised a Personal Assault? The Ethics of Extended Cognition
ABSTRACT: Philosophy of mind and cognitive science (e.g., Clark and Chalmers 1998; Clark 2010; Palermos 2014) have recently become increasingly receptive to the hypothesis of extended cognition, according to which external artifacts such as our laptops and smartphones can—under appropriate circumstances—feature as material realizers of a person's cognitive processes. We argue that, to the extent that the hypothesis of extended cognition is correct, our legal and ethical theorizing and practice m
Application of Machine Learning Approaches for Classifying Sitting Posture Based on Force and Acceleration Sensors
Occupational musculoskeletal disorders, particularly chronic low back pain (LBP), are ubiquitous due to prolonged static sitting or nonergonomic sitting positions. Therefore, the aim of this study was to develop an instrumented chair with force and acceleration sensors to determine the accuracy of automatically identifying the user's sitting position by applying five different machine learning methods (Support Vector Machines, Multinomial Regression, Boosting, Neural Networks, and Random Forest)
History of Artificial Intelligence
Management of Knowledge, Innovation and Performance in SMEs
For more than two decades, knowledge management (KM) has been examined in the literature and considered a basic factor in business management. The purpose of this article is to explore the ability of knowledge management to achieve small and medium-sized enterprise (SME) innovation and business performance. Data analysis procedures of PLS-SEM was used to analyze the data based on responses from the owners of 903 companies in industry, construction, services, and trade in the Region of Murcia (Sp
Safely interruptible agents
Reinforcement learning agents interacting with a complex environment like the real world are unlikely to behave optimally all the time. If such an agent is operating in real-time under human supervision, now and then it may be necessary for a human operator to press the big red button to prevent the agent from continuing a harmful sequence of actions—harmful either for the agent or for the environment—and lead the agent into a safer situation. However, if the learning agent expects to receive re
Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates through Natural Language Processing and Machine Learning
OBJECTIVE: We describe the development and evaluation of a system that uses machine learning and natural language processing techniques to identify potential candidates for surgical intervention for drug-resistant pediatric epilepsy. The data are comprised of free-text clinical notes extracted from the electronic health record (EHR). Both known clinical outcomes from the EHR and manual chart annotations provide gold standards for the patient's status. The following hypotheses are then tested: 1)
Cultural Heritage in a Changing World
The central purpose of this collection of essays is to make a creative addition to the debates surrounding the cultural heritage domain. In the 21st century the world faces epochal changes which affec
Rational Choice Theory: Toward a Psychological, Social, and Material Contextualization of Human Choice Behavior
The main purpose of this paper is to provide a brief overview of the rational choice approach, followed by an identification of several of the major criticisms of RCT and its conceptual and empirical limitations. It goes on to present a few key initiatives to develop alternative, more realistic approaches which transcend some of the limitations of Rational Choice Theory (RCT). Finally, the article presents a few concluding reflections and a table comparing similarities and differences between th
A Game of Horns: Transnational Flows of Rhino Horn
A multi-sectorial regime of protection including international treaties, conservation and security measures, demand reduction campaigns and quasi-military interventions has been established to protect rhinos. Despite these efforts, the poaching of rhinos and trafficking of rhino horn continue unabated. This dissertation asks why the illegal market in rhinoceros horn is so resilient in spite of the myriad measures employed to disrupt it. A theoretical approach grounded in the sociology of markets
Development of Health Parameter Model for Risk Prediction of CVD Using SVM
Current methods of cardiovascular risk assessment are performed using health factors which are often based on the Framingham study. However, these methods have significant limitations due to their poor sensitivity and specificity. We have compared the parameters from the Framingham equation with linear regression analysis to establish the effect of training of the model for the local database. Support vector machine was used to determine the effectiveness of machine learning approach with the Fr
Engineering Education in the Rapidly Changing World: Rethinking the Vision for Higher engineering Education
When drafting the first issue of this document it sometimes felt like I was manoeuvring a small canoe through a highly viscous fluid of conservatism and complacency, with everybody bogged down by today’s thinking, preparing next Tuesday’s nine o’clock lecture, aiming for the best learning experience by optimising teaching and assessment. The issues of the day are about the “how next week”, not about the “what next year”, let alone the “why in the next decade”. After publicising I was happy to di