AI: the future of humanity
Open accessAbstract
Artificial intelligence (AI) is reshaping humanity's future, and this manuscript provides a comprehensive exploration of its implications, applications, challenges, and opportunities. The revolutionary potential of AI is investigated across numerous sectors, with a focus on addressing global concerns. The influence of AI on areas such as healthcare, transportation, banking, and education is revealed through historical insights and conversations on different AI systems. Ethical considerations and the significance of responsible AI development are addressed. Furthermore, this study investigates AI's involvement in addressing global issues such as climate change, public health, and social justice. This paper serves as a resource for policymakers, researchers, and practitioners understanding the complex link between AI and humans.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Consumers lose agency over how they are represented in data.
“Furthermore, consumers lose agency over how they are represented in data (Rawas, 2024;Rezaei et al., 2024;Samara et al., 2024).”
From Surveillance Capitalism, Consumer Subjectivity and Marketing in the Age of Artificial Intelligence (2025) · cites this paper as Rawas, 2024
Section 6.2 (Privacy, security, and data ethics) calls for informed consent and protection of personal data, while section 6.4 (AI and human autonomy) discusses protecting users’ agency. Neither section says that consumers lose agency over how they are represented in data; the paper frames these as risks and safeguards rather than an established loss. (LLM, conf=0.77)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Haenlein, M., & Kaplan, A. (2019) · California Management Review · doi:10.1177/0008125619864925 · Cited by 2,655 · see citing works
Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2022) · The International Journal of Human Resource Management · doi:10.1080/09585192.2020.1871398 · Cited by 1,134 · cited 2× · see citing works
“AI comprises a wide range of techniques and technologies, including computer vision, deep learning, machine learning, and symbolic AI [3].”
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Soori, M., Arezoo, B., & Dastres, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.001 · Cited by 1,131 · see citing works
Manickam, P., Mariappan, S. A., Murugesan, S. M., Hansda, S., Kaushik, A. K., Shinde, R. B., & Thipperudraswamy, S. P. (2022) · Biosensors · doi:10.3390/bios12080562 · Cited by 695 · see citing works
Spiking Neural Networks and Their Applications: A Review
Yamazaki, K., Vo-Ho, V.-K., Bulsara, D., & Le, N. (2022) · Brain Sciences · doi:10.3390/brainsci12070863 · Cited by 653 · see citing works
Himeur, Y., Elnour, M., Fadli, F., Meskin, N., Petri, I., Rezgui, Y., Bensaali, F., & Amira, A. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-022-10286-2 · Cited by 607 · see citing works
Yang, C. (2022) · Research Policy · doi:10.1016/j.respol.2022.104536 · Cited by 579 · see citing works
Quo vadis artificial intelligence?
Jiang, Y., Li, X., Luo, H., Yin, S., & Kaynak, O. (2022) · Discover Artificial Intelligence · doi:10.1007/s44163-022-00022-8 · Cited by 552 · see citing works
Memarian, B., & Doleck, T. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100152 · Cited by 416 · see citing works
Human and artificial intelligence collaboration for socially shared regulation in learning
Järvelä, S., Nguyen, A., & Hadwin, A. (2023) · British Journal of Educational Technology · doi:10.1111/bjet.13325 · Cited by 342 · see citing works
Artificial intelligence and learning analytics in teacher education: A systematic review
Salas-Pilco, S., Xiao, K., & Hu, X. (2022) · Education Sciences · doi:10.3390/educsci12080569 · Cited by 326 · see citing works
Kopalle, P. K., Gangwar, M., Kaplan, A., Ramachandran, D., Reinartz, W., & Rindfleisch, A. (2021) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2021.11.002 · Cited by 323 · see citing works
ChatGPT: Empowering lifelong learning in the digital age of higher education
Rawas, S. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12114-8 · Cited by 310 · see citing works
Self-citationEthics of artificial intelligence in education: Student privacy and data protection
Huang, L. (2023) · Science Insights Education Frontiers · doi:10.15354/sief.23.re202 · Cited by 305 · see citing works
Čartolovni, A., Tomičić, A., & Lazić Mosler, E. (2022) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2022.104738 · Cited by 267 · see citing works
A systematic review of artificial intelligence impact assessments
Stahl, B. C., Antoniou, J., Bhalla, N., Brooks, L., Jansen, P., Lindqvist, B., Kirichenko, A., Marchal, S., Rodrigues, R., Santiago, N., et al. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10420-8 · Cited by 257 · see citing works
Natural language processing for smart construction: Current status and future directions
Chengke, W., Li, X., Guo, Y., Wang, J., Ren, Z., Wang, M., & Yang, Z. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.104059 · Cited by 237 · see citing works
Empowering learners for the age of artificial intelligence
Gašević, D., Siemens, G., & Sadiq, S. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100130 · Cited by 234 · cited 1× · see citing works
“AI is altering the educational landscape by bringing creative solutions to improve student learning experiences and outcomes [7, 9].”
Human-Centered Design to Address Biases in Artificial Intelligence
Chen, Y., Clayton, E. W., Novak, L. L., Anders, S. H., & Malin, B. (2023) · Journal of Medical Internet Research · doi:10.2196/43251 · Cited by 211 · see citing works
Nwakanma, C. I., Ahakonye, L. A. C., Njoku, J. N., Odirichukwu, J. C., Okolie, S. A., Uzondu, C., Ndubuisi Nweke, C. C., & Kim, D.-S. (2023) · Applied Sciences · doi:10.3390/app13031252 · Cited by 202 · see citing works
Chang, L., Hesary, F. T., & Mohsin, M. (2023) · Resources Policy · doi:10.1016/j.resourpol.2023.103508 · Cited by 201 · see citing works
Artificial intelligence in public health: the potential of epidemic early warning systems
MacIntyre, C. R., Chen, X., Kunasekaran, M. P., Quigley, A. L., Lim, S., Stone, H., Paik, H.-Y., Yao, L., Heslop, D. J., Wei, W., et al. (2023) · Journal of International Medical Research · doi:10.1177/03000605231159335 · Cited by 160 · see citing works
Wang, H., Tlili, A., Huang, R., Cai, Z., Li, M., Cheng, Z., Yang, D., Li, M., Zhu, X., & Fei, C. (2023) · Education and Information Technologies · doi:10.1007/s10639-022-11555-x · Cited by 147 · see citing works
Neuro-Symbolic Artificial Intelligence: The State of the Art
Hitzler, P., & Sarker, M. K. (2021) · Neuro-Symbolic Artificial Intelligence · doi:10.3233/faia342 · Cited by 130 · see citing works
Olugbade, S., Ojo, S., Imoize, A. L., Isabona, J., & Alaba, M. O. (2022) · Mathematical and Computational Applications · doi:10.3390/mca27050077 · Cited by 123 · see citing works
Žarković, M., & Stojković, Z. M. (2017) · Electric Power Systems Research · doi:10.1016/j.epsr.2017.04.025 · Cited by 107 · see citing works
Abdelhalim, H., Berber, A., Lodi, M. K., Jain, R., Nair, A. S., Pappu, A., Patel, K., Venkat, V., Venkatesan, C., Wable, R., et al. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.929736 · Cited by 98 · see citing works
Fostering Collective Intelligence in Human–AI Collaboration: Laying the Groundwork for COHUMAIN
Gupta, P., Nguyen, T. N., González, C., & Woolley, A. W. (2023) · Topics in Cognitive Science · doi:10.1111/tops.12679 · Cited by 95 · see citing works
Herrmann, H., & Masawi, B. (2022) · Strategic Change · doi:10.1002/jsc.2525 · Cited by 74 · see citing works
A comprehensive review on intelligent traffic management using machine learning algorithms
Modi, Y., Teli, R., Mehta, A. J., Shah, K., & Shah, M. (2021) · Innovative Infrastructure Solutions · doi:10.1007/s41062-021-00718-3 · Cited by 62 · see citing works
Current and Near-Term AI as a Potential Existential Risk Factor
Bucknall, B. S., & Dori-Hacohen, S. (2022) · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · doi:10.1145/3514094.3534146 · Cited by 48 · see citing works
Suen, H.-Y., & Hung, K.-E. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123011 · Cited by 47 · see citing works
Augmentation Technologies and Artificial Intelligence in Technical Communication
Duin, A. H., & Pedersen, I. (2023) · Routledge eBooks · doi:10.4324/9781003288008 · Cited by 45 · see citing works
Generative AI as Virtual Healthcare Assistant for Enhancing Patient Care Quality
Samala, A. D., & Rawas, S. (2024) · International Journal of Online and Biomedical Engineering (iJOE) · doi:10.3991/ijoe.v20i05.45937 · Cited by 42 · see citing works
Self-citationSamala, A. D., & Rawas, S. (2024) · International Journal of Online and Biomedical Engineering (iJOE) · doi:10.3991/ijoe.v20i02.45693 · Cited by 35 · see citing works
Self-citationRole of artificial intelligence in environmental sustainability
Habila, M. A., Ouladsmane, M., & ALOthman, Z. A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-99714-0.00009-1 · Cited by 32 · see citing works
On the Development of AI Governance Frameworks
Almeida, V. A. F., Mendes, L. S., & Doneda, D. (2023) · IEEE Internet Computing · doi:10.1109/mic.2022.3186030 · Cited by 20 · see citing works
Bias, fairness, and assurance in AI: overview and synthesis
Al-Khulaidy, A., & Kavak, H. (2023) · Elsevier eBooks · doi:10.1016/b978-0-32-391919-7.00016-0 · Cited by 14 · see citing works
Lim, D. (2022) · SMU Law Review · doi:10.25172/smulr.75.4.4 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- Mann DL. Artificial intelligence discusses the role of artificial intelligence in translational medicine: a JACC: basic to translational science interview with ChatGPT. Basic Transl Sci. 2023;8(2):221-3.
- Compagnucci MC, et al editors. AI in EHealth: human autonomy, data governance and privacy in healthcare. Cambridge: Cambridge University Press; 2022.
- Rehman A, Farrakh A. Improving clinical decision support systems: explainable AI for enhanced disease prediction in healthcare. Int J Comput Innov Sci. 2023;2(2):9-23.
Cited by
Sorted by citations
Kale, M. B., Wankhede, N. L., Pawar, R. S., Ballal, S., Kumawat, R., Goswami, M., Khalid, M., Taksande, B. G., Upaganlawar, A. B., Umekar, M. J., et al. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102497 · Cited by 199 · see citing works
Ramadan, O. M. E., Alruwaili, M. M., Alruwaili, A. N., Elsehrawy, M. G., & Alanazi, S. (2024) · BMC Nursing · doi:10.1186/s12912-024-02571-y · Cited by 139 · see citing works
Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions
Pham, T. D., Teh, M., Chatzopoulou, D., Holmes, S., & Coulthard, P. (2024) · Current Oncology · doi:10.3390/curroncol31090389 · Cited by 70 · see citing works
Machine learning-based classification of quality grades for concrete vibration behaviour
Fan, S., He, T., Li, W., Zeng, C., Chen, P., Chen, L., & Shu, J. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105694 · Cited by 56 · see citing works
Sun, Q., Yuan, Y., Xu, B., Gao, S., Zhai, X., Xu, F., & Shi, J. (2025) · Foods · doi:10.3390/foods14132230 · Cited by 42 · see citing works
A Systematic Review of Responsible Artificial Intelligence Principles and Practice
Gunasekara, L., El-Haber, N., Nagpal, S., Moraliyage, H., Issadeen, Z., Manic, M., & Silva, D. D. (2025) · Applied System Innovation · doi:10.3390/asi8040097 · Cited by 56 · see citing works
Uludağ, F., Kılıç, E., & Çelik, H. E. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-05641-x · Cited by 38 · see citing works
AI Ethics in the Fields of Education and Research: A Systematic Literature Review
Contreras, M. R., & JAIMES, J. O. P. (2024) · International Symposium on Accreditation of Engineering and Computing Education (ICACIT) · doi:10.1109/icacit62963.2024.10788651 · Cited by 24 · see citing works
Wei, J., Qi, S., Wang, W., Jiang, L., Gao, H., Zhao, F., Al-Bukhaiti, K., & Wan, A. (2025) · Contemporary Mathematics · doi:10.37256/cm.6220256459 · Cited by 15 · see citing works
“More recent studies have emphasized the groundbreaking exploration of contrasting paradigms between normative and descriptive decision-making theories [11, 12].”
Twabu, K. Y., & Nakene-Mginqi, M. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1512569 · Cited by 21 · see citing works
AI in Education: A Systematic Literature Review of Emerging Trends, Benefits, and Challenges
Adil, J. J. G. (2025) · Seminars in Medical Writing and Education · doi:10.56294/mw2025795 · Cited by 26 · see citing works
Florido-Benítez, L., & Martínez, B. D. A. (2024) · Electronics · doi:10.3390/electronics14010016 · Cited by 12 · see citing works
A Comprehensive Framework for Transparent and Explainable AI Sensors in Healthcare
Bouderhem, R. (2024) · International Electronic Conference on Sensors and Applications (ECSA) · doi:10.3390/ecsa-11-20524 · Cited by 15 · see citing works
Ethical Challenges and Bias in AI-Driven Marketing
Alam, A. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4327-3.ch003 · Cited by 13 · see citing works
Yu, H. M., Lee, H., & Kim, S. H. (2025) · Journal of Research in Childhood Education · doi:10.1080/02568543.2025.2579668 · Cited by 11 · see citing works
Maghanoy, J. M., Tahil, M. T., Sulasula, J., Vallejo, R. G., Dumagay, A. H., & Alieto, E. O. (2025) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-98476-1_40 · Cited by 11 · see citing works
Adewole, O. A., Akingbola, A., Adegbesan, A. C., Ndu-Esekea, T. N., & Olalemi, S. B. (2024) · Journal of Medicine Surgery and Public Health · doi:10.1016/j.glmedi.2024.100172 · Cited by 10 · see citing works
Artificial Intelligence (AI) and the Future of Marketing Trends
Sharma, A., Sharma, P., & Gaur, R. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9395-6.ch002 · Cited by 9 · see citing works
Legal Entropy in AI Governance
Kontis, S., Anastasiadou, S., Anastasiadis, L., & Seremeti, L. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9576-9.ch010 · Cited by 9 · see citing works
Yu, H. M., Kim, S. H., & Lee, H. (2025) · International Journal of Early Childhood · doi:10.1007/s13158-025-00434-4 · Cited by 9 · see citing works
Okur, H., & EKŞİ, A. (2024) · Dinbilimleri Akademik Araştırma Dergisi · doi:10.33415/daad.1582059 · Cited by 7 · see citing works
Harnessing generative AI for enhanced disaster management: a systematic review
Saengtabtim, K., Leelawat, N., Aumnoysombat, R., Adelifar, M., Saengwongwattana, N., Suktavornprasit, G., Suppasri, A., Imamura, F., & Tang, J. (2025) · Big Earth Data · doi:10.1080/20964471.2025.2521157 · Cited by 7 · see citing works
Artificial intelligence-assisted nursing care: a concept analysis using Walker and Avant approach
Maleki, R. N., Shahbazi, S., Hoseinzadeh, M., Ghafourifard, M., Gougjehyaran, H. G., & Faravan, A. (2025) · BMC Nursing · doi:10.1186/s12912-025-03818-y · Cited by 12 · see citing works
AI in Psychiatric Education and Training From 2016 to 2024: Scoping Review of Trends
Weightman, M. J., Chur‐Hansen, A., & Clark, S. R. (2025) · JMIR Medical Education · doi:10.2196/81517 · Cited by 8 · see citing works
Suartama, I. K., Sukmana, A. I. W. I. Y., & Triwahyuni, E. (2026) · Cogent Education · doi:10.1080/2331186x.2026.2647508 · Cited by 6 · see citing works
Measuring Technostress in Everyday Life: Development and Validation of an Assessment Scale
Colledani, D., Barbaranelli, C., Robusto, E., & Anselmi, P. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/5793644 · Cited by 6 · see citing works
Friend or foe? Enhancing creativity in K-12 education through AI
Weatherly, K. I. C. H., & Weatherly, C. A. (2025) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2025.102030 · Cited by 6 · see citing works
Becoming human in the age of AI: cognitive co-evolutionary processes
Högberg, A. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1734048 · Cited by 6 · see citing works
Brahim, S. B., Dardouri, S., Lajnef, H., Slimane, A. B., Bouallègue, R., & Vuong, T. (2024) · Sensors · doi:10.3390/s24248209 · Cited by 5 · see citing works
Adaptive Real-Time Translation Assistance Through Eye-Tracking
Minas, D., Theodosiou, E., Roumpas, K., & Xenos, M. (2025) · Applied Informatics · doi:10.3390/ai6010005 · Cited by 5 · see citing works
Raygoza-L., M. E., Orduño-Osuna, J. H., Trujillo‐Hernández, G., & Murrieta-Rico, F. N. (2025) · Revista de Ciencias Tecnológicas · doi:10.37636/recit.v8n2e398 · Cited by 4 · see citing works
Rahaman, M., Pappachan, P., Orozco, S. M., Bansal, S., & Arya, V. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-3860-5.ch011 · Cited by 4 · see citing works
Quttainah, M. A. (2025) · FIIB Business Review · doi:10.1177/23197145241313486 · Cited by 4 · see citing works
Surveillance Capitalism, Consumer Subjectivity and Marketing in the Age of Artificial Intelligence
Marchand, É., Durand, T., & Dubois, M. (2025) · Social Science Chronicle · doi:10.56106/ssc.2025.001 · Cited by 5 · see citing works
AI for Biodiversity Conservation
Manjunatha, G., & Raveesha, H. R. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-0680-3.ch002 · Cited by 4 · see citing works
Yu, X., Su, M., Zhou, Y., & Wang, S. (2026) · Energy Strategy Reviews · doi:10.1016/j.esr.2025.102024 · Cited by 3 · see citing works
Situating Legal Rationalities and Regulatory Regimes Inside AI Design and Deployment Lifecycles
Alam, A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7996-8.ch001 · Cited by 3 · see citing works
Steingard, D. S., & Rodenburg, K. S. (2025) · Learned Publishing · doi:10.1002/leap.2010 · Cited by 3 · see citing works
Artificial moral agents: should machines take ethical responsibility?
Reiter, P., Norman, U., Weinberger, N., & Bruno, B. (2025) · 2025 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO) · doi:10.1109/arso64737.2025.11124921 · Cited by 2 · see citing works
Reimagining Marketing in the Transformative Power of AI in Consumer Engagement
Goel, R., & Singla, J. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3476-9.ch005 · Cited by 2 · see citing works
Pianon, K., Tep, P., & Thitayanuwat, W. (2025) · International STEM Education Conference (iSTEM-Ed) · doi:10.1109/istem-ed65612.2025.11129417 · Cited by 2 · see citing works
AI innovation and financial system resilience: The role of international IP protection
Meng, Q., Yuan, Z., & Hou, Y. (2025) · Finance research letters · doi:10.1016/j.frl.2025.109245 · Cited by 2 · see citing works
Elliott, S., Richter, M., Alozie, C., & Raidis, D. (2026) · Technology, Knowledge and Learning · doi:10.1007/s10758-025-09942-7 · Cited by 2 · see citing works
Islam, M. M., Morshed, M. N., & Islam, M. S. (2026) · Sustainable Development · doi:10.1002/sd.71155 · Cited by 2 · see citing works
Progresivitas Kecerdasan Buatan dalam Perspektif Epistemologi
Mellyzar, M., Nahadi, N., & Nabuasa, D. A. (2024) · Jurnal Filsafat Indonesia · doi:10.23887/jfi.v7i3.78214 · Cited by 2 · see citing works
Establishing Key Performance Indicators for Human-Generative AI Collaboration
AbuAlfateh, M., Ali, M. K., & Messaadia, M. (2025) · Studies in big data · doi:10.1007/978-3-031-83911-5_42 · Cited by 2 · see citing works
Engaging With AI Influencers in Online Marketing 6.0
Jain, V., Jain, A., & Nagdev, K. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-2058-8.ch006 · Cited by 2 · see citing works
Attitude Towards AI: Exploring Role of Psychological Factors
Nidhi, N., & Sandra (2025) · Studies in systems, decision and control · doi:10.1007/978-3-031-86712-5_48 · Cited by 2 · see citing works
Yang, Y., & Maass, W. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.25.684594 · Cited by 2 · see citing works
AI-Driven Solutions for Social Impact Transforming Businesses for a Better Future
Banerjee, R., Maity, M., Das, A., Das, S., Gharai, P., Mondal, I., Sarkar, S., & Ghosh, S. (2024) · Advances in finance, accounting, and economics book series · doi:10.4018/979-8-3693-6392-8.ch010 · Cited by 1 · see citing works
Artificial Intelligence and the Evolving Landscape of Legal Accountability
Mansoor, S. I. U., Kausar, H., Khan, M. S. B., & Yadav, G. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9576-9.ch003 · Cited by 1 · see citing works
Pachón, C. G., Pedraza, C. A., & Ballesteros, D. M. (2025) · Big Data and Cognitive Computing · doi:10.3390/bdcc9080200 · Cited by 1 · see citing works
From Chalkboards to Chatbots: AI in Modern Education
Rawas, S., & Samala, A. D. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83708-432-620251008 · Cited by 1 · see citing works
Self-citationA systematic literature review of deepfakes in forensic science
Loovens, J., & Tınmaz, H. (2025) · Forensic Imaging · doi:10.1016/j.fri.2025.200647 · Cited by 4 · see citing works
Agentic AI in the Cloud: A Framework for Self-Directed Decision-Making and Optimization
Banala, S. (2025) · International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) · doi:10.1109/icoici65217.2025.11254599 · Cited by 1 · see citing works
Sharma, P., Hussain, S. S., & Gwal, R. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83708-166-020251008 · Cited by 1 · see citing works
Kontis, S., & Anastasiadou, S. (2025) · International Conference on e-Learning (eLearning) · doi:10.46793/elearning2025.126k · Cited by 1 · see citing works
Yunus Emre, S. A. R. I. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-2622-1.ch011 · Cited by 1 · see citing works
La tecnofobia como narrativa emergente frente a la regulación de la inteligencia artificial
Roa, A. R. C. (2026) · Palabra Clave · doi:10.5294/pacla.2025.28.3.6 · Cited by 1 · see citing works
A vision for responsible AI integration in citizen science
Lotfian, M., Claramunt, C., Suman, A. B., Pérez-Uribe, A., Chavent, N., Ertz, O., & Ingensand, J. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-06594-5 · Cited by 1 · see citing works
Tasmanian mariculture: stakeholder perceptions of current, alternative and future practices
Vanderkelen, L. M., Fullbrook, L., Kelly, R., & Spillias, S. (2026) · Environmental Research Food Systems · doi:10.1088/2976-601x/ae55a4 · Cited by 1 · see citing works
Algorithmic Systems and the Ethical Imperative to Prevent Structural Harm and Bias
Mansoor, S. I. U., Khan, H., Asrar, A., & Wani, S. A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7685-1.ch004 · Cited by 1 · see citing works
Cotta, R., Garvey, M., & McDermott, O. (2026) · Expert Review of Medical Devices · doi:10.1080/17434440.2026.2648001 · Cited by 1 · see citing works
Attanasio, C., Vilone, G., Holzinger, A., & Longo, L. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2675436 · Cited by 1 · see citing works
Human-AI Collaborative Intelligence and Pedagogies of Hybrid Cognition in Learning Ecosystems
Alam, A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7036-1.ch010 · Cited by 1 · see citing works
Leveraging Predictive Analytics for Success in Developing Economies
Kanade, T. M., Batule, R. B., & Joseph, J. S. (2024) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/979-8-3693-7122-0.ch022 · Cited by 1 · see citing works
Artificial Intelligence and Its Impact on Predicting Embryo and Sperm Characteristics
Nogueira, M. F. G., Almeida, A. M., Duarte, M. B., & Rocha, J. C. (2025) · Springer eBooks · doi:10.1007/978-3-031-87198-6_9 · Cited by 1 · see citing works
Artificial Intelligence in Chatbots and Conversational Marketing
Marwah, A., Bawa, D. S., & Gulati, T. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-2058-8.ch004 · Cited by 1 · see citing works
Artificial Intelligence Education for Health Professions Students: A Scoping ReviewPreprint
Buckmaster, F., van Staden, D. B., & Coetzee, L. (2025) · Research Square · doi:10.21203/rs.3.rs-6972197/v1 · Cited by 1 · see citing works
Yuan, F. (2025) · Journal of Social Science and Humanities · doi:10.53469/jssh.2025.7(03).13
Humanity at the Crossroads: Human Rights Challenges in the Age of Lethal Autonomous Weapon Systems
Ali, A. M., & Ramamurthy, S. (2025) · International Journal of Legal Information · doi:10.1017/jli.2025.11
Harish, S. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-0209-6.ch005
Rismawati, R., Hasan, F., Widiasmara, A., Nur, M., & Navghare, R. A. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5951-9.ch008
Development and Future of High-Speed Maglev Vehicle System
Mosa, S. S. Y., & Zhang, L. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-96-4702-6_17
Artificial Intelligence of Things (AIoT)
Pratas, J. M. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-8512-8.ch001
Schmiedchen, F. (2025) · Springer eBooks · doi:10.1007/978-3-662-71567-3_1
Khorsandi, M., Nikoo, M. R., & Ashofteh, P. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33687-4.00002-2
Arora, M., & Chandel, M. (2025) · CABI eBooks · doi:10.1079/9781836990185.0013
Farag, P. F., Abdel-monem, K. S., Albasri, H., Alhhazmi, A. A., & Ismail, R. H. (2025) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2025.1716723
Velmurugan, R., Bhuvaneswari, R., Madraswale, M. A., & Senthilkumar, S. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7011-8.ch009
Şeren, G. Y., & Esen, Ö. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83662-570-420251016
Sundari, V. S., & Saranya, N. N. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6026607
Rawas, S. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-2622-1.ch007
Self-citationAnggraini, D., Widodo, A. S., & Albert, A. (2026) · Technium Social Sciences Journal · doi:10.47577/tssj.v79i1.13480
The Future of Policing and Justice: A Systematic Review of AI’s Role and Ethical Challenges
Mwendwa, G., Chouhan, L., & Etyang, F. O. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-95-3495-1_11
AI tools for the structural health assessment of concrete dams: merits and limits
Bolzon, G., & Nogara, C. (2026) · Procedia Structural Integrity · doi:10.1016/j.prostr.2025.12.313
Application Cases of Artificial Intelligence (AI) in Micro, Small, and Medium-Sized Enterprises
Nwosu, C. E., Osho, A. J., Meshioye, M. O., & Nwosu, A. G. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-2817-1.ch010
Artificial Intelligence as a Guiding Voice: Evaluating Chatbots for Users with Visual Impairments
Łazaruk, K., Tokarski, P. I., Kowalczyk, K., Dzieńkowski, M., & Plechawska–Wójcik, M. (2026) · IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI) · doi:10.1109/sami68106.2026.11420689
Assessing artificial intelligence literacy levels among academic librarians in Kenya
Ndungu, M. W., & Agava, S. (2025) · KLISC Journal of Information Science & Knowledge Management · doi:10.61735/t2essm90 · Cited by 1 · see citing works
Leveraging Phenomenon-Based Learning (PhBL) for Teaching AI Skills to Students
Uden, L., & Francis, J. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/407553
The Role of Responsible AI in Global Trade and Finance
Mathew, R. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-1308-3.ch003
Dong, W., Dong, M., Zhao, Y., & Pan, S. (2026) · PLoS ONE · doi:10.1371/journal.pone.0339946
Artificial Intelligence and Machine Learning: Transforming the Future of Technology
Verma, B., Richharia, A. K., & Singh, V. (2026) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898815011126010011
Humanitarian Dilemmas of AI's Role in Warfare and Medicine
Prajapati, N., Ghosh, A., & Manuk, N. D. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6264-9.ch008
Mitigating Dataset Shift via Smart Augmentation with Conditional Diffusion Models
Peracchio, L., Santangelo, G., Nicora, G., Draghi, B., Tucker, A., Bellazzi, R., & Dagliati, A. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-19102-1_21
Gandhimathi, P., Al-Mousa, M. R., Krishnan, N., Parimala, V., Vineesha, M., & Venkatraman, A. (2026) · International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI) · doi:10.1109/icdsaai69492.2026.11505096
Mahajan, A., & Singh, N. P. (2026) · International Conference on Intelligent Processing, Hardware, Electronics, and Radio Systems (CIPHER) · doi:10.1109/cipher70417.2026.11523780
Work-Life Balance With AI-Powered Well-Being
Dehankar, P., Shrivastav, A., & Das, S. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4227-6.ch010
Investigating AI Utilization in Higher Education: Satisfaction Metrics and Skill Development
Tjahjana, D., Dwidienawati, D., & Gandasari, D. (2026) · Springer proceedings in business and economics · doi:10.1007/978-981-95-6415-6_62
Integrating Unconventional Approaches for Intelligent and Adaptive Soft Robotic Systems
Jeong, H., & Paik, J. K. (2026) · Springer eBooks · doi:10.1007/978-3-032-22453-8_12
- Authors
- Rawas, S.
- Affiliations
- Beirut Arab University (LB)
- Corresponding author
- Rawas, Soha
- ORCID
- Rawas, Soha
- Venue
- Discover Artificial Intelligence
- Published
- 2024-03-26
- Volume
- 4
- Issue
- 1
- ISSN
- 2731-0809 (ISSN-L)
- OpenAlex
- W4393188496
- Cited by
- 119
- References
- 40
- Citations by year
- 2026: 52 · 2025: 52 · 2024: 15
- FWCI
- 17.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Discover Artificial Intelligence (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- artificial intelligence, future of humanity, artificial intelligence applications, health care, transportation, banking sector, AI ethics, responsible AI development, climate change, social justice, AI and society
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review