Ethical considerations in artificial intelligence (AI) have become increasingly crucial as AI technologies permeate various aspects of society. This paper delves into the complexities surrounding bias and accountability in AI systems. Bias in AI algorithms can perpetuate societal inequalities and discrimination, while accountability gaps raise concerns about the responsible use of AI and potential legal liabilities. By exploring these issues, this paper aims to shed light on the ethical challenges inherent in AI development and deployment, offering insights into how stakeholders can navigate these complexities to foster more equitable and responsible AI applications.
{"title":"Ethical Considerations in AI: Navigating the Complexities of Bias and Accountability","authors":"Md.mafiqul Islam","doi":"10.60087/jaigs.v3i1.62","DOIUrl":"https://doi.org/10.60087/jaigs.v3i1.62","url":null,"abstract":"Ethical considerations in artificial intelligence (AI) have become increasingly crucial as AI technologies permeate various aspects of society. This paper delves into the complexities surrounding bias and accountability in AI systems. Bias in AI algorithms can perpetuate societal inequalities and discrimination, while accountability gaps raise concerns about the responsible use of AI and potential legal liabilities. By exploring these issues, this paper aims to shed light on the ethical challenges inherent in AI development and deployment, offering insights into how stakeholders can navigate these complexities to foster more equitable and responsible AI applications.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"39 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139960520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As humanity grapples with the pressing challenges of climate change, biodiversity loss, and environmental degradation, there is a growing recognition of the pivotal role that artificial intelligence (AI) can play in addressing these issues. This article explores the intersection of AI and sustainability, highlighting how technological advancements are being leveraged to mitigate environmental impacts and promote a more sustainable future. From optimizing energy consumption and resource management to enhancing conservation efforts and predicting environmental risks, AI offers innovative solutions across various sectors. This paper examines key applications of AI for sustainability, discusses current trends and challenges, and outlines future directions for research and implementation.
{"title":"AI for Sustainability: Leveraging Technology to Address Global Environmental","authors":"Most. Sohana Akter","doi":"10.60087/jaigs.v3i1.64","DOIUrl":"https://doi.org/10.60087/jaigs.v3i1.64","url":null,"abstract":"As humanity grapples with the pressing challenges of climate change, biodiversity loss, and environmental degradation, there is a growing recognition of the pivotal role that artificial intelligence (AI) can play in addressing these issues. This article explores the intersection of AI and sustainability, highlighting how technological advancements are being leveraged to mitigate environmental impacts and promote a more sustainable future. From optimizing energy consumption and resource management to enhancing conservation efforts and predicting environmental risks, AI offers innovative solutions across various sectors. This paper examines key applications of AI for sustainability, discusses current trends and challenges, and outlines future directions for research and implementation.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"44 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139961738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The rise of autonomous systems, particularly in the realm of self-driving technology, heralds a transformative era in transportation and beyond. This paper delves into the multifaceted landscape of autonomous systems, examining their evolution, current state, and future potential. By exploring the intricate workings of self-driving technology, we unravel the complexities and implications of this burgeoning field. From the underlying algorithms to the societal impacts, we navigate through the promises and challenges of autonomous systems. Through a comprehensive analysis, we shed light on the trajectory of self-driving technology and its role in shaping the future of transportation and beyond.
{"title":"Autonomous Systems Revolution: Exploring the Future of Self-Driving Technology","authors":"Md.mafiqul Islam","doi":"10.60087/jaigs.v3i1.61","DOIUrl":"https://doi.org/10.60087/jaigs.v3i1.61","url":null,"abstract":"The rise of autonomous systems, particularly in the realm of self-driving technology, heralds a transformative era in transportation and beyond. This paper delves into the multifaceted landscape of autonomous systems, examining their evolution, current state, and future potential. By exploring the intricate workings of self-driving technology, we unravel the complexities and implications of this burgeoning field. From the underlying algorithms to the societal impacts, we navigate through the promises and challenges of autonomous systems. Through a comprehensive analysis, we shed light on the trajectory of self-driving technology and its role in shaping the future of transportation and beyond.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"48 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139961253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Natural Language Processing (NLP) advancements have revolutionized human-computer interaction, breaking barriers and opening new frontiers in technology. NLP techniques enable machines to understand, interpret, and generate human language, facilitating seamless communication between humans and computers. This paper explores recent advancements in NLP technology, highlighting their impact on various domains and discussing challenges and future directions in the field
{"title":"Natural Language Processing Advancements: Breaking Barriers in Human-Computer Interaction","authors":"José Gabriel Carrasco Ramírez","doi":"10.60087/jaigs.v3i1.63","DOIUrl":"https://doi.org/10.60087/jaigs.v3i1.63","url":null,"abstract":"Natural Language Processing (NLP) advancements have revolutionized human-computer interaction, breaking barriers and opening new frontiers in technology. NLP techniques enable machines to understand, interpret, and generate human language, facilitating seamless communication between humans and computers. This paper explores recent advancements in NLP technology, highlighting their impact on various domains and discussing challenges and future directions in the field","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"217 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140454630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As humanity grapples with the pressing challenges of climate change, biodiversity loss, and environmental degradation, there is a growing recognition of the pivotal role that artificial intelligence (AI) can play in addressing these issues. This article explores the intersection of AI and sustainability, highlighting how technological advancements are being leveraged to mitigate environmental impacts and promote a more sustainable future. From optimizing energy consumption and resource management to enhancing conservation efforts and predicting environmental risks, AI offers innovative solutions across various sectors. This paper examines key applications of AI for sustainability, discusses current trends and challenges, and outlines future directions for research and implementation.
{"title":"Harnessing Technology for Environmental Sustainability: Utilizing AI to Tackle Global Ecological Challenges","authors":"Sohana Akter","doi":"10.60087/jaigs.v2i1.p57","DOIUrl":"https://doi.org/10.60087/jaigs.v2i1.p57","url":null,"abstract":"As humanity grapples with the pressing challenges of climate change, biodiversity loss, and environmental degradation, there is a growing recognition of the pivotal role that artificial intelligence (AI) can play in addressing these issues. This article explores the intersection of AI and sustainability, highlighting how technological advancements are being leveraged to mitigate environmental impacts and promote a more sustainable future. From optimizing energy consumption and resource management to enhancing conservation efforts and predicting environmental risks, AI offers innovative solutions across various sectors. This paper examines key applications of AI for sustainability, discusses current trends and challenges, and outlines future directions for research and implementation.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"147 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140454998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Deep learning has emerged as a powerful paradigm within artificial intelligence, revolutionizing various fields with its ability to automatically discover intricate patterns and representations from vast amounts of data. In this article, we delve into the latest advancements in deep learning, focusing on the exploration of advanced neural network architectures. Through a comprehensive review and analysis, we uncover the underlying principles and methodologies driving the success of these architectures, elucidating their capabilities and limitations. From convolutional neural networks (CNNs) for image recognition to recurrent neural networks (RNNs) for sequential data processing, we highlight key innovations and breakthroughs that have propelled the field forward. Furthermore, we discuss recent trends such as attention mechanisms, transformer models, and graph neural networks, showcasing their potential applications and impact across diverse domains. By unraveling the power of deep learning and its advanced neural network architectures, this article aims to provide valuable insights into the state-of-the-art techniques driving AI research and development.
{"title":"Unveiling the Power of Deep Learning: Insights into Advanced Neural n Network Architectures","authors":"Jeff Shuford","doi":"10.60087/jaigs.v3i1.60","DOIUrl":"https://doi.org/10.60087/jaigs.v3i1.60","url":null,"abstract":"Deep learning has emerged as a powerful paradigm within artificial intelligence, revolutionizing various fields with its ability to automatically discover intricate patterns and representations from vast amounts of data. In this article, we delve into the latest advancements in deep learning, focusing on the exploration of advanced neural network architectures. Through a comprehensive review and analysis, we uncover the underlying principles and methodologies driving the success of these architectures, elucidating their capabilities and limitations. From convolutional neural networks (CNNs) for image recognition to recurrent neural networks (RNNs) for sequential data processing, we highlight key innovations and breakthroughs that have propelled the field forward. Furthermore, we discuss recent trends such as attention mechanisms, transformer models, and graph neural networks, showcasing their potential applications and impact across diverse domains. By unraveling the power of deep learning and its advanced neural network architectures, this article aims to provide valuable insights into the state-of-the-art techniques driving AI research and development.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"61 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140455025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Artificial intelligence (AI) has become increasingly pervasive across various domains, including smartphones, social media platforms, search engines, and autonomous vehicles, among others. This study undertakes a scoping review of the current landscape of AI technologies, following the PRISMA framework, with the aim of identifying the most advanced technologies utilized in different domains of AI research. Three reputable journals within the artificial intelligence and machine learning domain, namely the Journal of Artificial Intelligence Research, the Journal of Machine Learning Research, and Machine Learning, were selected for this review. Articles published in 2022 were scrutinized against certain criteria: the technology must be tested against comparable solutions, employ commonly approved or well-justified datasets, and demonstrate improvements over comparable solutions. A crucial aspect of technology development identified in this review is the processing and exploitation of data collected from diverse sources. Given the highly unstructured nature of data, technological solutions should minimize the need for manual intervention by humans. The review indicates that creating labeled datasets is a labor-intensive process, leading to increased research focus on solutions leveraging unsupervised or semi-supervised learning technologies. Efficient updating of learning algorithms and the interpretability of predictions emerge as key considerations in the development of AI technologies. Moreover, in real-world applications, ensuring safety and providing explainable predictions are imperative before widespread adoption can be achieved. Thus, this review underscores the importance of addressing these factors to facilitate the responsible and effective integration of AI technologies into various domains.
{"title":"Exploring Current Trends in Artificial Intelligence Technology An Extensive Review","authors":"Jeff Shuford, Md.mafiqul Islam","doi":"10.60087/jaigs.v2i1.40","DOIUrl":"https://doi.org/10.60087/jaigs.v2i1.40","url":null,"abstract":"Artificial intelligence (AI) has become increasingly pervasive across various domains, including smartphones, social media platforms, search engines, and autonomous vehicles, among others. This study undertakes a scoping review of the current landscape of AI technologies, following the PRISMA framework, with the aim of identifying the most advanced technologies utilized in different domains of AI research. Three reputable journals within the artificial intelligence and machine learning domain, namely the Journal of Artificial Intelligence Research, the Journal of Machine Learning Research, and Machine Learning, were selected for this review. Articles published in 2022 were scrutinized against certain criteria: the technology must be tested against comparable solutions, employ commonly approved or well-justified datasets, and demonstrate improvements over comparable solutions. A crucial aspect of technology development identified in this review is the processing and exploitation of data collected from diverse sources. Given the highly unstructured nature of data, technological solutions should minimize the need for manual intervention by humans. The review indicates that creating labeled datasets is a labor-intensive process, leading to increased research focus on solutions leveraging unsupervised or semi-supervised learning technologies. Efficient updating of learning algorithms and the interpretability of predictions emerge as key considerations in the development of AI technologies. Moreover, in real-world applications, ensuring safety and providing explainable predictions are imperative before widespread adoption can be achieved. Thus, this review underscores the importance of addressing these factors to facilitate the responsible and effective integration of AI technologies into various domains.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"48 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139895658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Artificial Intelligence (AI) and Machine Learning (ML) represent burgeoning fields with the potential to transform numerous facets of society and industry. AI encompasses computer systems and algorithms capable of executing tasks typically necessitating human intelligence, such as learning, problem-solving, and decision-making. Conversely, ML entails the creation of algorithms facilitating computers to glean insights from data and refine their performance over time, sans explicit programming. This research delves into the fundamental principles and practical applications of AI and ML, encompassing domains like natural language processing, image and speech recognition, and the development of autonomous vehicles. Furthermore, we scrutinize the potential advantages and apprehensions linked with these technologies, including the prospect of job displacement and the susceptibility to misuse. Finally, we underscore the significance of ethical considerations and conscientious development practices to ensure the realization of AI and ML benefits while mitigating adverse repercussions.
人工智能（AI）和机器学习（ML）是新兴领域，有可能改变社会和工业的许多方面。人工智能包括计算机系统和算法，能够执行通常需要人类智慧才能完成的任务，如学习、解决问题和决策。反之，ML 则需要创建算法，帮助计算机从数据中获取洞察力，并在不明确编程的情况下逐步完善其性能。本研究深入探讨了人工智能和 ML 的基本原理和实际应用，涵盖自然语言处理、图像和语音识别以及自动驾驶汽车开发等领域。此外，我们还仔细研究了与这些技术相关的潜在优势和担忧，包括失业前景和易被滥用的问题。最后，我们强调了道德考量和认真开发实践的重要性，以确保实现人工智能和 ML 的优势，同时减轻负面影响。
{"title":"Delving into the Progress and Implications of Artificial Intelligence","authors":"Sohel Rana","doi":"10.60087/jaigs.v2i1.44","DOIUrl":"https://doi.org/10.60087/jaigs.v2i1.44","url":null,"abstract":"Artificial Intelligence (AI) and Machine Learning (ML) represent burgeoning fields with the potential to transform numerous facets of society and industry. AI encompasses computer systems and algorithms capable of executing tasks typically necessitating human intelligence, such as learning, problem-solving, and decision-making. Conversely, ML entails the creation of algorithms facilitating computers to glean insights from data and refine their performance over time, sans explicit programming. This research delves into the fundamental principles and practical applications of AI and ML, encompassing domains like natural language processing, image and speech recognition, and the development of autonomous vehicles. Furthermore, we scrutinize the potential advantages and apprehensions linked with these technologies, including the prospect of job displacement and the susceptibility to misuse. Finally, we underscore the significance of ethical considerations and conscientious development practices to ensure the realization of AI and ML benefits while mitigating adverse repercussions.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139895679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Many disciplines, such as computer vision and natural language processing (NLP), find broad applications for artificial intelligence (AI) and machine learning (ML). We will give a brief history of edge detection in this post, which is an essential method for emphasizing important characteristics in a wide range of computer vision applications. We will also explore the transformative potential of transformer-based deep learning models in improving natural language processing applications. In addition, we will present two current research initiatives that demonstrate the creative uses of AI in business negotiation and the pharmaceutical industry. Furthermore, for this journal issue, we have carefully chosen five papers that are pertinent to these topics.
{"title":"Artificial Intelligence Exploring Its Applications across Industries","authors":"Md.mafiqul Islam","doi":"10.60087/jaigs.v2i1.42","DOIUrl":"https://doi.org/10.60087/jaigs.v2i1.42","url":null,"abstract":"Many disciplines, such as computer vision and natural language processing (NLP), find broad applications for artificial intelligence (AI) and machine learning (ML). We will give a brief history of edge detection in this post, which is an essential method for emphasizing important characteristics in a wide range of computer vision applications. We will also explore the transformative potential of transformer-based deep learning models in improving natural language processing applications. In addition, we will present two current research initiatives that demonstrate the creative uses of AI in business negotiation and the pharmaceutical industry. Furthermore, for this journal issue, we have carefully chosen five papers that are pertinent to these topics.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"56 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139895302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Artificial intelligence (AI) has undergone rapid evolution in recent decades, catalysing the emergence of ground-breaking technologies that have reshaped various sectors. Among these advancements is the advent of autonomous vehicles, poised to revolutionize transportation and mobility. Moreover, AI has spurred the development of cutting-edge solutions in healthcare, exemplified by AI-powered medical imaging systems. This manuscript presents an overview of AI's evolution and explores the latest strides in autonomous vehicles and healthcare innovations. Delving into the foundational technologies like machine learning and computer vision, it elucidates the methodologies employed in crafting autonomous vehicles and healthcare solutions. The document also scrutinizes the advantages and hurdles inherent in these innovations, while offering insights into future avenues of research. Overall, it underscores AI's profound impact on transportation, healthcare, and beyond, underscoring the transformative potential of autonomous vehicles and healthcare technologies in fostering safer and more efficient mobility and healthcare systems.
{"title":"Exploring Cutting-Edge Frontiers in Artificial Intelligence: An Overview of Trends and Advancements","authors":"Sohana Akter","doi":"10.60087/jaigs.v2i1.43","DOIUrl":"https://doi.org/10.60087/jaigs.v2i1.43","url":null,"abstract":"Artificial intelligence (AI) has undergone rapid evolution in recent decades, catalysing the emergence of ground-breaking technologies that have reshaped various sectors. Among these advancements is the advent of autonomous vehicles, poised to revolutionize transportation and mobility. Moreover, AI has spurred the development of cutting-edge solutions in healthcare, exemplified by AI-powered medical imaging systems. This manuscript presents an overview of AI's evolution and explores the latest strides in autonomous vehicles and healthcare innovations. Delving into the foundational technologies like machine learning and computer vision, it elucidates the methodologies employed in crafting autonomous vehicles and healthcare solutions. The document also scrutinizes the advantages and hurdles inherent in these innovations, while offering insights into future avenues of research. Overall, it underscores AI's profound impact on transportation, healthcare, and beyond, underscoring the transformative potential of autonomous vehicles and healthcare technologies in fostering safer and more efficient mobility and healthcare systems.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"35 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139895585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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