The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
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.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
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.
Citations
Cites
Haenlein, M., & Kaplan, A. (2019) · California Management Review · doi:10.1177/0008125619864925 · Cited by 2,655
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×
“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
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 717
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 717
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 709
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 630
Yang, C.-H. (2022) · Research Policy · doi:10.1016/j.respol.2022.104536 · Cited by 521
Memarian, B., & Doleck, T. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100152 · Cited by 416
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 361
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
Items 101–121 of 121
Şahin, M., Gültekin, M. H., Erdoğdu, F., & Cesur, S. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2719186
Regulatory Autonomy and AI Sovereignty: Türkiye at a Crossroad
Brown, R. D., & ÖZLÜK, D. (2026) · Asian Journal of Law and Society · doi:10.1017/als.2026.10055
Leadership and Human–AI Collaboration: A Measurement Scale
Prado, J. C. A., Camargo, J. P., Torres, R. A. Z., & Rey-Sarmiento, C. F. (2026) · Behavioral Sciences · doi:10.3390/bs16071208
A scientometric review of artificial intelligence in climate governance and sustainability pathways
Hossain, I., & Rana, M. S. (2026) · Environment Systems & Decisions · doi:10.1007/s10669-026-10120-y
Catalysts of equity: AI-facilitated community-led learning pods in higher education
Rawas, S. (2026) · Quality & Quantity · doi:10.1007/s11135-026-03040-1
Self-citationAyish, M., & Elareshi, M. (2026) · Journal of Media Ethics · doi:10.1080/23736992.2026.2715581
Xu, T., & Wu, Y. (2026) · Higher Education · doi:10.1007/s10734-026-01725-y
Risk, Regulation, and AI: Strengthening Financial Integrity in SAP S/4HANA Workflows
Ganji, S. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-28616-1_29
Bürkner, L., & Westner, M. K. (2026) · Communications in computer and information science · doi:10.1007/978-981-92-2597-2_38
Wiem, T., Douik, A., & Montacié, C. (2026) · International Conference on Control, Automation and Diagnosis (ICCAD) · doi:10.1109/iccad69956.2026.11642959
Ramu, T. B., Khafajeh, H., Kansal, L., Satyanarayana, G. V. V., N, P. K., & Lalithambigai, B. (2026) · International Conference on Circuit, Power and Computing Technologies · doi:10.1109/iccpct70290.2026.11654680
Selvi, D. M. K., Alazaidah, R., Pandi, V. S., Singla, T., Kumar, C. V., & Shankar, R. (2026) · International Conference on Circuit, Power and Computing Technologies · doi:10.1109/iccpct70290.2026.11654797
Zhang, L. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-02048-8
Smart choices, sustainable futures: Advancing healthcare responsibly
Vashista, N., Bala, M., & Tushir, S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33512-9.00013-5
Inteligência artificial, imperialismo e esperanças contra-hegemônicas
Almeida, A. (2025) · Revista Brasileira de Estudos CTS · doi:10.67937/30861128.2025.13
Loseto, G., Gramegna, F., Pinto, A., Scioscia, F., & Ruta, M. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-02204-0
Contemporary Governance and ESG Architecture as a Means to Alter Corporate Behaviour
Quttainah, M. A. (2026) · FIIB Business Review · doi:10.1177/23197145261488500
Nicosia, A., Cancilla, N., Siino, M., Passerini, M., Sau, F., Tinnirello, I., & Cipollina, A. (2026) · Diagnostics · doi:10.3390/diagnostics16193095
Uğraş, H., & Uğraş, M. (2026) · Systems · doi:10.3390/systems14101268
Fernández, Y. A., Pupo, I. P., Blanc, H. C., Herrera, R. Y., & Acuña, L. A. (2026) · Studies in computational intelligence · doi:10.1007/978-3-032-29288-9_3
Tawhari, S. H., Tumala, R. B., & Tawhari, Y. H. (2026) · Nursing Reports · doi:10.3390/nursrep16100370
Metadata
- 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
- Physical Sciences › Computer Science › Artificial Intelligence › 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
