Social and Ethical Impact of Artificial Intelligence on Public - A Case Study of University Students

Authors(3) :-Farah Fayaz Quraishi, Sheikh Abdul Wajid, Pummy Dhiman

Artificial intelligence (AI) - a subfield of computer science, is the intelligence that is being exhibited with the help of machines or software. The study of artificial intelligence is becoming a popular field, since it has proved to be valuable for human life in many areas and has given rise to another technology known as “expert system”. The application areas of Artificial Intelligence have a huge impact in our daily lives. They are widely used to solve the complex problems in various areas as science, business, health-sector, banking, weather forecasting etc and the areas using AI have seen a tremendous increase in quality and efficiency. The paper explores the current use of AI in various sectors and indicates whether the people using it are satisfied with its growing use and its development by the experts. The research showed that AI is commonly and successfully used in different service industries. Role of AI in different industries have been studied and surveyed: health-care, e-government, banking, transport, etc. The paper focuses on the ethical decision of whether to support or oppose the development of AI/ Robotic Community. The major goal of this project is to analyse the extent to which public and expert opinion mirrors the reality of the Artificial Intelligence field. It is believed that in the future, intelligent machines will replace or enhance human capabilities in many areas. The paper presents the findings of a survey of the applications of AI techniques among university students; determine the current and growing use of AI techniques; characterize the benefits and constraints of using such techniques.

Authors and Affiliations

Farah Fayaz Quraishi
Research Scholar, PG Department of Computer Sciences, University of Kashmir, Srinagar, India
Sheikh Abdul Wajid
Lecturer, PG Department of Computer Sciences, University of Kashmir, Srinagar, India
Pummy Dhiman
Assistant professor, College of Creative Study, Vidya Jyoti Eduversity,Derabassi Punjab, India

AI, expert system, Robotics

  1. Otto Neumaier, Artificial Intelligence – The Case Against ed. Rainer Born, (London :Routledge,1989),132.
  2. McCorduck, Pamela. Machines who think. San Francisco: W. H. Freeman and Company, 1979. 33-34.
  3. A. M. Turing, "Computing Machinery and Intelligence," Mind, 1st ed., 1950, pp. 433 ¬ 460.
  4. IEEE Transactions on Medical Imaging 35, no. 5 (2016): 1285–1298.
  5. Ozobot, accessed August 1, 2016,
  6. "Cubelets," Modular Robotics, accessed August 1, 2016,
  7. Kurt VanLehn, Pamela W. Jordan, Carolyn P. Rosé, Dumisizwe Bhembe, Michael Böttner, Andy Gaydos, Maxim Makatchev, Umarani Pappuswamy, Michael Ringenberg, Antonio Roque, Stephanie Siler, and Ramesh Srivastava, "The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing," Intelligent Tutoring Systems: Proceedings of the 6th International Conference, (Springer Berlin Heidelberg, 2002), 158–167.
  8. VanLehn et al, "The Architecture of Why2-Atlas."
  9. "Resources and Support," Carnegie Learning, accessed August 1, 2016, https://www.
  10. Alan Lesgold, Suzanne Lajoie, Marilyn Bunzo, and Gary Eggan, "SHERLOCK: A Coached Practice Environment for an Electronics Troubleshooting Job," in J. H. Larkin and R. W. Chabay, eds., Computer-Assisted Instruction and Intelligent Tutoring Systems: Shared Goals and Complementary Approaches (Hillsdale, New Jersey: Lawrence Erlbaum Associates, 1988).
  11. Michael V. Yudelson, Kenneth R. Koedinger, and Geoffrey J. Gordon, (2013). " Individualized Bayesian Knowledge Tracing Models," Artificial Intelligence in Education, (Springer Berlin Heidelberg, 2013), 171–180.
  12. Jill Burstein, Karen Kukich, Susanne Wolff, Chi Lu, Martin Chodorow, Lisa Braden-Harder, and Mary Dee Harris, "Automated Scoring Using a Hybrid Feature Identification Technique" in Proceedings of the Annual Meeting of the Association of Computational Linguistics, Montreal, Canada, August 1998, accessed August 1, 2016,,,Coursera,, Udacity, https://www.
  13. Jonathan C. Brown, Gwen A. Frishkoff , and Maxine Eskenazi, "Automatic Question Generation for Vocabulary Assessment," Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP), Vancouver, October 2005, (Association for Computational Linguistics, 2005), 819–826.
  14. Michael Heilman, "Automatic Factual Question Generation from Text," PhD thesis CMULTI-11-004, (Carnegie Mellon University, 2011), accessed August 1, 2016,
  15. Tahani Alsubait, Bijan Parsia, and Uli Sattler, "Generating Multiple Choice Questions from Ontologies: How Far Can We Go?," in eds. P. Lambrix, E. Hyvönen. E. Blomqvist, V. Presutti, G. Qi, U. Sattler, Y. Ding, and C. Ghidini, Knowledge Engineering and Knowledge Management: EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic Linköping, Sweden, November 24–28, 2014 Revised Selected Papers, (Switzerland: Springer International Publishing, 2015), 66–79.
  16. The 6th International Learning Analytics & Knowledge Conference, accessed August 1, 2016,
  17. Third Annual ACM Conference on Learning at Scale,
  18. Ry Rivard, "Udacity Project on ‘Pause’," Inside Higher Ed, July 18, 2013, accessed August 1,2016,
  19. Stanford University: Galileo Correspondence Project, accessed August 1, 2016,
  20. The Making and Knowing Project: Reconstructing the 16th Century Workshop of BNF MS.FR. 640 at Columbia University, accessed August 1, 2016,
  21. Paul James, "3D Mapped HTC Vive Demo Brings Archaeology to Life," Road to VR, August31, 2015, accessed August 1, 2016, Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues,Jianhua Yao, Daniel Mollura, and Ronald M. Summers, "Deep Convolutional Neural Networks for Computer-aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning,"

Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 463-467
Manuscript Number : IJSRSET1738154
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Farah Fayaz Quraishi, Sheikh Abdul Wajid, Pummy Dhiman, " Social and Ethical Impact of Artificial Intelligence on Public - A Case Study of University Students, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.463-467, November-December-2017.
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