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Machine Learning in Manufacturing Ergonomics: Recent Advances, Challenges, and Opportunities

Sujee Lee, Li Liu, Robert Radwin, Jingshan Li
2021 IEEE Robotics and Automation Letters  
in this area, this letter reviews the recent advances of ML applications in manufacturing ergonomics, and discusses future research opportunities and challenges from ML, ergonomics, and manufacturing systems  ...  A graph-based multi-task learning approach is proposed in [14] for human postural assessment in long videos.  ...  Thus, an operator model for ergonomics risk can be studied from the perspectives of physical activity assessment (through sensor-based and video data) and risk stratification, mental workload evaluation  ... 
doi:10.1109/lra.2021.3084881 fatcat:hqdsvn3v7vcepfv5orvqlp57lu

Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents [article]

Muhammad Monjurul Karim, Yu Li, Ruwen Qin
2022 arXiv   pre-print
Traffic accident anticipation is a vital function of Automated Driving Systems (ADSs) for providing a safety-guaranteed driving experience.  ...  Existing Artificial Intelligence (AI) models of accident anticipation lack a human-interpretable explanation of their decision-making.  ...  Besides, the ability to explain the decision of an accident anticipation model would support insurance, legal, and regulatory entities to assess the model for the liability purpose (18) .  ... 
arXiv:2108.00273v2 fatcat:pxgmwstkyved3o742drzgckaky

Evaluating the Roadmap of 5G Technology Implementation for Smart Building and Facilities Management in Singapore

Michael Yit Lin Chew, Evelyn Ai Lin Teo, Kwok Wei Shah, Vishal Kumar, Ghassan Fahem Hussein
2020 Sustainability  
This article will serve as a benchmark for researchers and industries for future progress and development of SFM systems by leveraging 5G networks for higher sustainability targets and implementing teaching  ...  Under these 5G SFM projects, the lab seeks to develop state-of-the-art 5G use cases in collaboration with various industry partners and developed a framework for teaching and training to enhance students  ...  monitor, assess, and apply decision support.  ... 
doi:10.3390/su122410259 fatcat:vqiq3nmr6ven5n72v32ci5fowu

Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review

Onur Asan, Avishek Choudhury
2021 JMIR Human Factors  
An AI system is part of a greater sociotechnical system.  ...  Conclusions Human factors researchers should actively be part of efforts in AI design and implementation, as well as dynamic assessments of AI systems' effects on interaction, workflow, and patient outcomes  ...  This research received no specific grant from any funding agency in public, commercial, or not-for-profit sectors.  ... 
doi:10.2196/28236 pmid:34142968 fatcat:oow4g56w6baw3p6tgfktstdcsq

Robotics: Ethics of artificial intelligence

2015 Nature  
"AI technologies could exacerbate existing healthcare disparities and create new ones." complex treatment recommendation from a decision-support system without a clear description of how and why it was  ...  The features that contribute to probability-based assessments such as Bayesian analyses are straightforward to present; deep-learning networks, less so.  ... 
doi:10.1038/521415a pmid:26017428 fatcat:pfbw2e4lv5emnjqcrdcogwmfpy

Administration by algorithm: A risk management framework

Frank Bannister, Regina Connolly, Sarah Giest, Stephan Grimmelikhuijsen
2020 Information Polity  
Algorithmic decision-making is neither a recent phenomenon nor one necessarily associated with artificial intelligence (AI), though advances in AI are increasingly resulting in what were heretofore human  ...  This paper proposes a simple taxonomy of decision-making algorithms in the public sector and uses this to build a risk management framework with a number of components including an accountability structure  ...  It would not include, for example, decision support systems or models built for one-off decisions.  ... 
doi:10.3233/ip-200249 fatcat:3pbx6zdn5vecnnvt23x7j4z6o4

Computer Vision and Abnormal Patient Gait Assessment a Comparison of Machine Learning Models [article]

Jasmin Hundall, Benson A. Babu
2020 arXiv   pre-print
Computer vision detects, predicts patient gait abnormalities, assesses fall risk and serves as clinical decision support tool for physicians.  ...  This paper performs a systematic review of how computer vision, machine learning models perform an abnormal patient's gait assessment.  ...  A video-based technique used for carrying out joint kinematics assess while gait is ongoing developed by the work of Corazza et al. [15] .  ... 
arXiv:2004.02810v1 fatcat:ldovdmg63zdspewmn2kp7jmuuy

The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI [article]

Susan von Struensee
2021 arXiv   pre-print
There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI.  ...  Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.  ...  While AI presents an opportunity to eliminate bias from the hiring process, it has also been seen to introduce bias because of for assessing specific automated decision systems for any risk of disproportionate  ... 
arXiv:2107.14052v1 fatcat:etqo64ksjzaihmt4kr7b6auxiu

Tools used in Naturalistic Decision Making (NDM) and in Resilience Engineering (RE) [article]

Gary Klein, Sudeep Hegde
2020 Zenodo  
This memo contains an initial listing of NDM and RE tools, for use by practitioners and colleagues. The memo is intended merely as a quick survey, and not an exhaustive list.  ...  Risk Assessment: a.  ...  IEEE intelligent systems, 17(5), 42-47. Moon, B., Johnston, C., & Moon, S. (2018). A Case for the Superiority of Concept Mapping-Based Assessments for Assessing Mental Models.  ... 
doi:10.5281/zenodo.4248112 fatcat:syvj64woubchrjrqvcygixyfna

Utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Overcrowding Level Risk Assessment in Railway Stations

Hamad Alawad, Min An, Sakdirat Kaewunruen
2020 Applied Sciences  
In this research, a framework to develop an intelligent system for managing risk is suggested.  ...  Such risk information is extremely critical for decision making processes in managing safety and risks, especially when uncertain disruptions incur (e.g., COVID-19, disasters, etc.).  ...  The authors are also wishes to thank to the European Commission for the financial sponsorship of the H2020-RISE Project No. 691135 "RISEN: Rail Infrastructure Systems Engineering Network", which enables  ... 
doi:10.3390/app10155156 fatcat:zllviurbqzgeppjcgixogztc5u

Bias, journalistic endeavours, and the risks of artificial intelligence [chapter]

M. R. Leiser
2022 Artificial Intelligence and the Media  
14 'Black box(es)' is a semi-colloquial term used to describe opaque machine-learning models, which are traditionally, although need not be, deep-learning based; See F Pasquale, The Black Box Society (  ...  The regulation uses a risk-based approach to regulating AI.  ...  In traditional decision or prediction systems, outputs are based on a 'handcrafted' model: data is pumped into a handcrafted model of pre-determined algorithms and pre-set parameters.  ... 
doi:10.4337/9781839109973.00007 fatcat:3zn757csijeihcg34u46jt42ze

Demystifying the Draft EU Artificial Intelligence Act [article]

Michael Veale, Frederik Zuiderveen Borgesius
2021 arXiv   pre-print
Aspects of the AI Act, such as different rules for different risk-levels of AI, make sense.  ...  Several overarching aspects, including the enforcement regime and the risks of maximum harmonisation pre-empting legitimate national AI policy, engender significant concern.  ...  For most standalone high-risk systems (and eventually, all such systems), providers can mark the systems as in conformity using only self-assessment.  ... 
arXiv:2107.03721v2 fatcat:pawduxn75recbhdsc4dzafjtuq

REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health

Maryam Pishgar, Salah Fuad Issa, Margaret Sietsema, Preethi Pratap, Houshang Darabi
2021 International Journal of Environmental Research and Public Health  
Application of the REDECA framework highlighted AI/OSH strengths and opportunities in various industries and potential areas for collaboration.  ...  exposure risks in a worker's immediate environment.  ...  Lastly, Autonomous Support Systems could reduce the need for human involvement in perilous mining operations such as roof support [151] .  ... 
doi:10.3390/ijerph18136705 pmid:34206378 pmcid:PMC8296875 fatcat:rjbt6vdevre47dviox32sifkzy

How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities? [article]

Reuben Binns, Reuben Kirkham
2021 arXiv   pre-print
We articulate this new agenda for AI fairness for people with disabilities, explaining how combining data protection and equality law creates new opportunities for disabled people's organisations and assistive  ...  This article examines the concept of 'AI fairness' for people with disabilities from the perspective of data protection and equality law.  ...  They also need to conduct data protection impact assessments (DPIAs) for certain kinds of processing deemed 'high risk', which is likely to be the case for AI systems, especially where they have the potential  ... 
arXiv:2107.05704v1 fatcat:rpf4rdm2nvf45i3bm5uxtqthaq

The challenges and opportunities of adopting artificial intelligence (AI) in Jordan's healthcare transformation

Shakir Karim, Raj Sandu, Mahesh Kayastha
2021 Global Journal of Information Technology Emerging Technologies  
As a developing country, Jordan has not fully adopted Artificial Intelligence (AI) in its healthbsector. Keywords: Artificial Intelligence (AI); Challenges; Health care System; Jordan; Opportunities  ...  It also discusses the local awareness and familiarization of Artificial Intelligence (AI) in Jordan healthcare providers and gives a consistent assessment of current and future best practices.  ...  prioritisation based on risk, and monitoring intensity based on individual risk (Karim, Sandu, & Gide, 2020) .  ... 
doi:10.18844/gjit.v11i2.6546 fatcat:egpngckuobfijh5u4aukyiolh4
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