[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127191-en":3,"doc-seo-127191-105":31,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},127191,549768072016,"River Wang","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",7,"Healthcare","Ethical Algorithms for Machine Learning Based Ai Powered Robotics - Ethical Perspective for Covid-19 Like Health Emergencies - Article","The article discusses how COVID-19 and similar health emergencies can be addressed using AI-powered robotics guided by machine learning and ethical principles. It frames the pandemic as a rapid escalation of cases, recoveries, and deaths, and highlights the challenge of collecting reliable real-time clinical data. The study proposes ethically trained robots that support healthcare staff with patient interaction, monitoring, and information transfer to doctors, while also supporting vaccine-related work and considering ethical concerns in AI deployment.","Ethical Algorithms for Machine  \nLearning Based Ai Powered Robotics: Ethical Perspective for Covid-19 Like Health Emergencies  \n(IJGASR) International Journal For Global Academic & Scientific Research ISSN Number: 2583-3081  \nVolume 4, Issue No. 1, 18–26 © The Authors 2025  \n[journals.icapsr.com/index.php/ijgasr](journals.icapsr.com/index.php/ijgasr)  \nDOI: 10.55938/ijgasr.v4i1.190  \nBirendra Kumar Saraswat 1, Ram Kr. Sharma2, Prakash Joshi3 and Dipti Goel4  \nAbstract  \nThe coronavirus, a dangerous member of the virus family, infected millions globally. Many peoples were gone infected with it. The of infected peoples were increasing very fast day by day. Now a day’s total cases were about 110M, recoveries about 60M and deaths about 3M. For this, we use AI means artificial intelligence in health care. We can ethical trained robots through machine learning in the situation ofcovid pandemic. We made robots that help staff in their personal care touch. They go to patient and met the live to doctors by the help of a tab that can we insert in them. They make patients happy by play songs, talk and motivate them. We can insert camera on their head with that they scan the patients that they are happy, sad or depressed. They also help doctors to make the vaccines of this deadliest virus. Robots can be very useful for doctors. The pandemic has disrupted machine learning, analytics, and data for large companies around the world. Now is a good time to look at what that means for leaders who depends on these tools, and what these leaders are doing to regroup and recruit.  \nKeywords  \nAlgorithm, Robotics, Artificial Intelligence, Secrecy, Sovereignty, Digital Ethics, Impartiality, Explainability, Machine Learning  \nReceived: 05 January 2025; Revised: 01 April 2025; Accepted: 16 April 2025;  \nPublished: 18 April 2025  \n1,2,3,4 Assistant Professor, Dept. of Computer Science & Engineering, Raj Kumar Goel Institute of Technology, Ghaziabad, U.P,  \nIndia. E-mail: [saraswatbirendra@gmail.com](saraswatbirendra@gmail.com)  \nCorresponding Author:  \nE-mail: [birendrasaraswat@gmail.com](birendrasaraswat@gmail.com)  \n© 2025 by Birendra Kumar Saraswat, Ram Kr. Sharma, Prakash Joshi and Dipti Goel Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license,([http://](http://)[ ](http://)[creativecommons.org/licenses/by/4.0/](creativecommons.org/licenses/by/4.0/)). This work is licensed under a Creative Commons Attribution 4.0 International License  \n1. Introduction  \nIn China its largest province Hubei identify the first official Coronavirus case in Wuhan as reported by World Health Organisation.  \nAs a result of Coronavirus millions of cases of this disease confirmed around the world and it has been claimed thousands of lives till now.  \nCoronavirus dieses now took the form off pandemic that has overwhelming effected health and wellbeing of global value.  \nThis pandemic effected Respiratory system of human being and led to severe acute respiratory syndrome coronavirus (SARS-CoV) . This illness has been declared coronavirus 2019 i.e. Covid-19 by the WHO. This covid-19 virus is basically subclass of SARS and MERS but it is more dangerous and harmful for the Respiratory system of human being. Covid-19 virus spreads rapidly in form of droplet that are generated by common colds and flu.  \nIt is very challenging for the scientists of Artificial Intelligence and Machine Learning to collect the real time data of the physical features ofCOVID-19 patients and the outcome of patient treatment for the quick response of patient information and easy access.  \nFigure 1. Implementation of AI and ML application against COVID-19 fight.  \nMajor problem in COVID-19 situation is the availability of the clinical data to manage and processed information.  \nFigure 1 depict the processing step (workflow plan) to combat COVID-19 by using Machine Learning and Artificial Intelligence.  \n2. Machine Learning  \nMach","cbCaicaRBxL5T1mv","https://ap.wps.com/l/cbCaicaRBxL5T1mv","pdf",765283,4,1,9,"English","en",105,"# Introduction\n## Machine Learning\n## Ethical Perspective and AI/ML Workflow (COVID-19 Context)","[{\"question\":\"Why are ethical algorithms important for AI-powered robotics in COVID-19-like emergencies?\",\"answer\":\"They help guide machine learning systems toward responsible behavior when handling sensitive healthcare decisions and patient-related data during emergencies.\"},{\"question\":\"What role do machine learning and AI play according to the document?\",\"answer\":\"Machine learning enables computers to learn from historic and real-time data for forecasting and decision-making, supporting systems used for COVID-19 response workflows.\"},{\"question\":\"How are the proposed robots expected to assist healthcare staff?\",\"answer\":\"They are intended to support personal care tasks, interact with patients (e.g., playing songs, talking, motivating), and help doctors by scanning patients and sharing observations through a communication interface.\"}]","Ethical Algorithms for Machine Learning Based Ai Powered Robotics - 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