Artificial Intelligence: Revolution Or Future Threat

Artificial Intelligence: Revolution Or Future Threat

Author Details

1. Vimal Kirti Vishwajeet, Computer Application Department, Lucknow University Lucknow

As we all know the latest hot topic all over the world is artificial intelligence (AI). And why shouldn't it be?? As AI has a wide range of applications across various industries including, finance, transportation, healthcare, and human resources. In healthcare, AI can be used for diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. In finance, AI can help personalize services and products, create opportunities, manage risk and fraud, enable transparency and compliance, and automate operations and reduce costs. In transportation, AI can be used for self-driving vehicles, traffic detection, and pedestrian detection. In human resources, AI can screen resumes, rank candidates based on their qualifications, predict candidate success in given roles, and automate repetitive communication tasks via chatbots. AI can also be used for real-time code completion, chat, and automated test generation. The potential applications of AI are vast and varied, and the technology is expected to continue to revolutionize many industries in the future.

Keywords

  1. Adamu, Awan, 2019 U. Adamu, I. Awan Ransomware prediction using supervised learning algorithms 2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) (2019), pp. 57-63 doi:10.1109/FiCloud.2019.00016 View article CrossRefView in ScopusGoogle Scholar
  2. Aghakhani, Gritti, Mecca, Lindorfer, Ortolani, Balzarotti, Vigna, Kruegel, 2020H. Aghakhani, F. Gritti, F. Mecca, M. Lindorfer, S. Ortolani, D. Balzarotti, G. Vigna, C. Kruegel When malware is packin‘heat; limits of machine learning classifiers based on static analysis features Network and Distributed Systems Security (NDSS) Symposium 2020 (2020) Google Scholar
  3. Akbanov, Vassilakis, Logothetis, 2019 M. Akbanov, V. Vassilakis, M. LogothetisWannacry ransomware: analysis of infection, persistence, recovery prevention and propagation mechanisms Journal of Telecommunications and Information Technology (2019)Google Scholar
  4. Al-Rimy, Maarof, Alazab, Alsolami, Shaid, Ghaleb, Al-Hadhrami, Ali, 2020 B. AlRimy, M. Maarof, M. Alazab, F. Alsolami, S. Shaid, F. Ghaleb, T. Al-Hadhrami, A. Ali A pseudo feedback-based annotated tf-idf technique for dynamic crypto-ransomware pre-encryption boundary delineation and features extraction IEEE Access, 8 (2020), pp. 140586-140598 View article CrossRefView in ScopusGoogle Scholar
  5. Al-rimy, Maarof, Prasetyo, Shaid, Ariffin, 2018B. Arimy, M. Maarof, Y. Prasetyo, S. Shaid, A. Ariffin Zero-day aware decision fusion-based model for crypto-ransomware early detection International Journal of Integrated Engineering, 10 (6) (2018) Google Scholar
  6. Al-rimy, Maarof, Shaid, 2018 B. Al-rimy, M. Maarof, S. Shaid Ransomware threat success factors, taxonomy, and countermeasures: a survey and research directions Computers & Security, 74 (2018), pp. 144-166 View PDFView articleView in ScopusGoogle Scholar
  7. Al-rimy, Maarof, Shaid, 2019 B. Al-rimy, M. Maarof, S. Shaid Crypto-ransomware early detection model using novel incremental bagging with enhanced semi-random subspace selection Future Generation Computer Systems, 101 (2019), pp. 476-491
  8. View PDFView article View in ScopusGoogle Scholar 47067
  9. Springer-Verlag, Berlin, Heidelberg (2015), pp. 382-404, 10.1007/978-3-319-26362-5_18 View article View in ScopusGoogle Scholar

Vishwajeet (2003); Artificial intelligence: revolution or future threat, IPEM JOURNAL OF COMPUTER APPLICATION &RESEARCH, 8(1), 16-19

X