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Amiri, Ghulam Ali
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Artificial Intelligence and Technological Evolution: A Comprehensive Analysis of Modern Challenges and Future Opportunities Amiri, Ghulam Ali; Hakimi, Musawer; Rajaee, Sayed Mohammad Kazim; Hussaini, Mohammad Fawad
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1265

Abstract

Background. The rapid evolution of AI and the associated technological developments have opened up society to new opportunities and challenges that were hitherto unexplored in many fields. The impact of AI extends to technological progress and influences industry practices, socio-cultural norms, and global economic landscapes. Purpose. The paper reviews how contemporary challenges and future opportunities for AI interlink with the more extensive process of technological evolution. The paper tries to illuminate how AI technologies can be powerful and influential in the face of transforming industries, societal norms, and the technical landscape, as well as highlighting the risks and challenges that these developments could give rise to. Method. This will be based on an in-depth review of all peer-reviewed journals, case studies, and industry reports relating to AI between 2019 and 2024. Some key trends identified from the analysis in AI implementation across major sectors, including healthcare, finance, and education, have been recognized. The review is done considering the ethical, regulatory, and technical issues surrounding AI as it seeks to integrate into society Results: AI has become one of the most powerful shapers of several sectors in terms of pushing both innovation and efficiency. At the same time, it also brings substantial challenges regarding data privacy, algorithmic bias, and robust regulatory frameworks with itself. The results therefore bring out this dual nature of AI as a driver of progress and a source of intricate ethical and technical dilemmas. Conclusion. Thus, the outcome of the study is that even though AI holds immense potential for positive societal impact, its integration has to be managed by strong strategies reducing risks and maximize benefits. Interdisciplinary collaboration and adaptive policies will indeed be necessary for negotiating the fast-changing landscape of artificial intelligence and for its responsible, beneficial use in the future.
Artificial Intelligence and Technological Evolution: A Comprehensive Analysis of Modern Challenges and Future Opportunities Amiri, Ghulam Ali; Hakimi, Musawer; Rajaee, Sayed Mohammad Kazim; Hussaini, Mohammad Fawad
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1265

Abstract

Background. The rapid evolution of AI and the associated technological developments have opened up society to new opportunities and challenges that were hitherto unexplored in many fields. The impact of AI extends to technological progress and influences industry practices, socio-cultural norms, and global economic landscapes. Purpose. The paper reviews how contemporary challenges and future opportunities for AI interlink with the more extensive process of technological evolution. The paper tries to illuminate how AI technologies can be powerful and influential in the face of transforming industries, societal norms, and the technical landscape, as well as highlighting the risks and challenges that these developments could give rise to. Method. This will be based on an in-depth review of all peer-reviewed journals, case studies, and industry reports relating to AI between 2019 and 2024. Some key trends identified from the analysis in AI implementation across major sectors, including healthcare, finance, and education, have been recognized. The review is done considering the ethical, regulatory, and technical issues surrounding AI as it seeks to integrate into society Results: AI has become one of the most powerful shapers of several sectors in terms of pushing both innovation and efficiency. At the same time, it also brings substantial challenges regarding data privacy, algorithmic bias, and robust regulatory frameworks with itself. The results therefore bring out this dual nature of AI as a driver of progress and a source of intricate ethical and technical dilemmas. Conclusion. Thus, the outcome of the study is that even though AI holds immense potential for positive societal impact, its integration has to be managed by strong strategies reducing risks and maximize benefits. Interdisciplinary collaboration and adaptive policies will indeed be necessary for negotiating the fast-changing landscape of artificial intelligence and for its responsible, beneficial use in the future.
Opportunities and Challenges in AI-Driven Cybersecurity: A Systematic Literature Shahidi, Shahwali; Darmel, Farid Ahmad; Jalalzai, Safiullah; Amiri, Ghulam Ali
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1541

Abstract

Background. The need for more sophisticated security strategies has become apparent as the number of cyber threats grows. AI is one framework that has been shown to boost security by providing advanced threat detection and response capabilities. Nonetheless, AI integration introduces inherently ethical and privacy-related concerns. Purpose. This research examines the AI implementation factors influencing the overall performance of the AI for cybersecurity and data privacy in both critical infrastructures and financial services. Method. This research derives its data from the extensive literature published from 2019 to 2024 in notable databases such as IEEE, Science Direct, MDPI, and Wiley Library, with more than 300 records. This analysis examined, with the help of artificial intelligence tools, the patterns and recurrent problems about the place of AI in cybersecurity, setting sights on the present challenges in the domains of intrusion detection and mitigation. Results. The results indicate that better threat detection in industry is enabled by AI. However, disadvantages of bias, the need for privacy, and suboptimal data management are evident, necessitating the need for stronger machine and human-readable regulations. Conclusion. Although AI strengthens security in an age of cyber-insecurity, its shortcomings point to the need for further development. Post-quantitative encryption palliatives and integration models will be effectively handled as cybersecurity-harming threats evolve.
Opportunities and Challenges in AI-Driven Cybersecurity: A Systematic Literature Shahidi, Shahwali; Darmel, Farid Ahmad; Jalalzai, Safiullah; Amiri, Ghulam Ali
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1541

Abstract

Background. The need for more sophisticated security strategies has become apparent as the number of cyber threats grows. AI is one framework that has been shown to boost security by providing advanced threat detection and response capabilities. Nonetheless, AI integration introduces inherently ethical and privacy-related concerns. Purpose. This research examines the AI implementation factors influencing the overall performance of the AI for cybersecurity and data privacy in both critical infrastructures and financial services. Method. This research derives its data from the extensive literature published from 2019 to 2024 in notable databases such as IEEE, Science Direct, MDPI, and Wiley Library, with more than 300 records. This analysis examined, with the help of artificial intelligence tools, the patterns and recurrent problems about the place of AI in cybersecurity, setting sights on the present challenges in the domains of intrusion detection and mitigation. Results. The results indicate that better threat detection in industry is enabled by AI. However, disadvantages of bias, the need for privacy, and suboptimal data management are evident, necessitating the need for stronger machine and human-readable regulations. Conclusion. Although AI strengthens security in an age of cyber-insecurity, its shortcomings point to the need for further development. Post-quantitative encryption palliatives and integration models will be effectively handled as cybersecurity-harming threats evolve.
Co-Authors Darmel, Farid Ahmad Hakimi, Musawer Hussaini, Mohammad Fawad Jalalzai, Safiullah Rajaee, Sayed Mohammad Kazim Shahidi, Shahwali