A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions
<p dir="ltr">Generative Artificial Intelligence (Gen-AI) is a new advancement that has revolutionized the concepts of Natural Language Processing (NLP) and Large Language Model (LLM). This change impacts various aspects of life, stimulating industry, education, and healthcare progres...
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| مؤلفون آخرون: | , , , , |
| منشور في: |
2025
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إضافة وسم
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| _version_ | 1864513523577520128 |
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| author | Mueen Uddin (4903510) |
| author2 | Shams Ul Arfeen (17541462) Fuhid Alanazi (22466728) Saddam Hussain (3144783) Tehseen Mazhar (19332663) Md. Arafatur Rahman (22996318) |
| author2_role | author author author author author |
| author_facet | Mueen Uddin (4903510) Shams Ul Arfeen (17541462) Fuhid Alanazi (22466728) Saddam Hussain (3144783) Tehseen Mazhar (19332663) Md. Arafatur Rahman (22996318) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mueen Uddin (4903510) Shams Ul Arfeen (17541462) Fuhid Alanazi (22466728) Saddam Hussain (3144783) Tehseen Mazhar (19332663) Md. Arafatur Rahman (22996318) |
| dc.date.none.fl_str_mv | 2025-09-08T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1007/s11831-025-10355-z |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_Critical_Analysis_of_Generative_AI_Challenges_Opportunities_and_Future_Research_Directions/31289251 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Human society Policy and administration Information and computing sciences Artificial intelligence Cybersecurity and privacy Generative artificial intelligence Chat-GPT AND GANs Transformer models Autoregressive models of Gen-AI architectures Variational autoencoders (VAEs) Misinformation and deepfake Applications of Gen-AI |
| dc.title.none.fl_str_mv | A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Generative Artificial Intelligence (Gen-AI) is a new advancement that has revolutionized the concepts of Natural Language Processing (NLP) and Large Language Model (LLM). This change impacts various aspects of life, stimulating industry, education, and healthcare progression. This survey presents the potential applications of Gen-AI across various sectors, highlighting the risks and opportunities. Some of the most pressing challenges include ethical consideration, the rise of disinformation (including deepfakes), concerns over Intellectual Property (IP) rights, cybersecurity risks, bias and discrimination. The survey also covers the fundamental models of Gen-AI, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformers. These frameworks are extremely important in various sectors, including medical imaging, drug discovery, and personalized medicine, and offer valuable insights into the future of technological advancements in the scientific community. The study contributes substantially by exploring positive elements and addressing the challenges of adequately deploying Gen-AI models. Using these insights, we hope to provide a comprehensive knowledge of the potential challenges and complexities associated with the widespread implementation of artificial intelligence technologies.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Archives of Computational Methods in Engineering<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s11831-025-10355-z" target="_blank">https://dx.doi.org/10.1007/s11831-025-10355-z</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_a79d1ddc40cb458ac8aa127fa8275e91 |
| identifier_str_mv | 10.1007/s11831-025-10355-z |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/31289251 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research DirectionsMueen Uddin (4903510)Shams Ul Arfeen (17541462)Fuhid Alanazi (22466728)Saddam Hussain (3144783)Tehseen Mazhar (19332663)Md. Arafatur Rahman (22996318)Human societyPolicy and administrationInformation and computing sciencesArtificial intelligenceCybersecurity and privacyGenerative artificial intelligenceChat-GPT AND GANsTransformer modelsAutoregressive models of Gen-AI architecturesVariational autoencoders (VAEs)Misinformation and deepfakeApplications of Gen-AI<p dir="ltr">Generative Artificial Intelligence (Gen-AI) is a new advancement that has revolutionized the concepts of Natural Language Processing (NLP) and Large Language Model (LLM). This change impacts various aspects of life, stimulating industry, education, and healthcare progression. This survey presents the potential applications of Gen-AI across various sectors, highlighting the risks and opportunities. Some of the most pressing challenges include ethical consideration, the rise of disinformation (including deepfakes), concerns over Intellectual Property (IP) rights, cybersecurity risks, bias and discrimination. The survey also covers the fundamental models of Gen-AI, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformers. These frameworks are extremely important in various sectors, including medical imaging, drug discovery, and personalized medicine, and offer valuable insights into the future of technological advancements in the scientific community. The study contributes substantially by exploring positive elements and addressing the challenges of adequately deploying Gen-AI models. Using these insights, we hope to provide a comprehensive knowledge of the potential challenges and complexities associated with the widespread implementation of artificial intelligence technologies.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Archives of Computational Methods in Engineering<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s11831-025-10355-z" target="_blank">https://dx.doi.org/10.1007/s11831-025-10355-z</a></p>2025-09-08T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s11831-025-10355-zhttps://figshare.com/articles/journal_contribution/A_Critical_Analysis_of_Generative_AI_Challenges_Opportunities_and_Future_Research_Directions/31289251CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/312892512025-09-08T03:00:00Z |
| spellingShingle | A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions Mueen Uddin (4903510) Human society Policy and administration Information and computing sciences Artificial intelligence Cybersecurity and privacy Generative artificial intelligence Chat-GPT AND GANs Transformer models Autoregressive models of Gen-AI architectures Variational autoencoders (VAEs) Misinformation and deepfake Applications of Gen-AI |
| status_str | publishedVersion |
| title | A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions |
| title_full | A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions |
| title_fullStr | A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions |
| title_full_unstemmed | A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions |
| title_short | A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions |
| title_sort | A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions |
| topic | Human society Policy and administration Information and computing sciences Artificial intelligence Cybersecurity and privacy Generative artificial intelligence Chat-GPT AND GANs Transformer models Autoregressive models of Gen-AI architectures Variational autoencoders (VAEs) Misinformation and deepfake Applications of Gen-AI |