A cognitive architecture safety design for safety critical systems

Dreany, Harry H.; Roncace, Robert A.

doi:10.1016/j.ress.2019.106555

Cited by 8 publications

(4 citation statements)

References 11 publications

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“…Firstly, the application of AI in ITS may bring about privacy and security risks. [ 24 ] ITS requires the collection of significant amounts of personal and vehicle data, such as vehicle location, speed, and driving behavior, to optimize and manage traffic flow. However, the collection and use of this data may infringe on the privacy rights of vehicle owners and lead to security risks, such as data leaks and malicious attacks.…”

Section: Potential Hazards Of Artificial Intelligence In the Areas Of...mentioning

confidence: 99%

Ethical perspective on AI hazards to humans: A review

Chen,

Luo

et al. 2023

Medicine

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This article explores the potential ethical hazards of artificial intelligence (AI) on society from an ethical perspective. We introduce the development and application of AI, emphasizing its potential benefits and possible negative impacts. We particularly examine the application of AI in the medical field and related ethical and legal issues, and analyze potential hazards that may exist in other areas of application, such as autonomous driving, finance, and security. Finally, we offer recommendations to help policymakers, technology companies, and society as a whole address the potential hazards of AI. These recommendations include strengthening regulation and supervision of AI, increasing public understanding and awareness of AI, and actively exploring how to use the advantages of AI to achieve a more just, equal, and sustainable social development. Only by actively exploring the advantages of AI while avoiding its negative impacts can we better respond to future challenges.

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Section: Potential Hazards Of Artificial Intelligence In the Areas Of...mentioning

confidence: 99%

Ethical perspective on AI hazards to humans: A review

Chen,

Luo

et al. 2023

Medicine

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“…For this purpose, cloud services can be accessed through their corresponding APIs of pattern mining, semantic mining, and visual analytics [16]. It helps prevent hazardous or catastrophic events to construction workers and equipment in the sensing environment in terms of maintaining safe distances from obstacles and responding to stimuli appropriately and on time [12]. Prevention through design is a comprehensive approach to address the issues and problems of construction safety and health.…”

Section: Literature Reviewmentioning

confidence: 99%

Determining the feasibility of using the automated market basket analysis method to investigate a cause-and-effect pattern of construction accidents and its safety associations

Tatapudi

2023

IOTA

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Construction sites are complex and dangerous. Over the past decade, construction fatality rates have been high in most countries. Construction accidents cause harm to construction workers and financial loss to construction firms. Smart wearable jackets are among the most effective personal protection equipment (PPE) for India's most recent and future generations. Prevention is better than Cure. To prevent the occurrences of construction accidents and to provide better safety and health to construction workers, the sensor data has to be collected from the IoT environment and has to make it subjected to cloud-based big data analytics to provide better decision support to project managers and doctors. Further, the decision support system can be enhanced by adding semantic capabilities using Ontology, Semantic Web Services, and data mining and artificial intelligence techniques. This study highlights the feasibility of using the automated market basket analysis method to investigate the cause-and-effect pattern of construction accidents, especially when using the Apriori algorithm to extract frequent item set associations. Data File preparation is one of the most essential and significant modules of incorporating automation. Therefore the value of this research effort lies in preparing a sample database and how such a sample database can become helpful in construction safety and health management to prevent accidents, as well as the computations of measures of the Apriori algorithm that support decisions regarding construction safety and health provision to construction supervisors and managers are explained

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“…In [2], a situation awareness (SA) is recreated to support the decision-making process and reduce errors using an abnormal situation modeling (ASM) method based on Bayesian networks and fuzzy logic systems. Also, the AI method is commonly used in this kind of simulation not only for recreating uncertainty but also for identifying patterns that could activate an autonomous response from a system using real or simulated inputs [3] in which a cognitive architecture system is present. This system uses an AI-based decision support model (AIDSM) embedded into an autonomous non-deterministic safety-critical system inside a simulation with an unmanned surface vehicle (USV) behavior.…”

Section: State Of the Artmentioning

confidence: 99%

“…As the system can be 2-or 3-dimensional, flat projections of entity positioning are used applying the Mahala Nobis formula integrated with different simulated inputs over the same plane as described in [3], [50], [51]. In other words, this subsystem is responsible for moving all relevant elements during the simulation.…”

Section: Trace Servermentioning

confidence: 99%

A Data Fusion System for Simulation of Critical Scenarios and Decision-Making

Zuluaga

Carrasco

Pabón

et al. 2019

Cien.Ing.Neogranadina

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The decision-making (DM) process in critical environments is a complex process that can be simulated due to current telematic capabilities, which allow the real time interaction of large amounts of data. This document describes the proposed architecture from a research process, developed by the FAC Aerospace Technology Development Center (CETAD), where using computational and expert system tools, allowed to create a computational environment for decision maker evaluated his options to prepares for real events, simulating characteristics, resources and strategies in a real time environment. This document describes an investigation product resulted in a simulation system, based on a combination of fuzzy logic, genetic algorithms and decision trees which let modelled and simulated various entities and their automatic response according to simulated patterns and situations, in which, through operators, decision maker can modify entities behaviour, according to parameterized restrictions and physical conditions. Also based on business intelligence tools, reports are generated to evaluate the decisions made. This type of technologies improves planning capacity and facilitate the decision-making process. System allows simulating any media deployment in national security and critical events context. Thus, a case study was developed for implementation of a support in natural disaster scenario simulation

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A cognitive architecture safety design for safety critical systems

Cited by 8 publications

References 11 publications

Ethical perspective on AI hazards to humans: A review

Ethical perspective on AI hazards to humans: A review

Determining the feasibility of using the automated market basket analysis method to investigate a cause-and-effect pattern of construction accidents and its safety associations

A Data Fusion System for Simulation of Critical Scenarios and Decision-Making

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