Call for Paper - December 2021 Edition
IJCA solicits original research papers for the December 2021 Edition. Last date of manuscript submission is November 20, 2021. Read More

Artificial Intelligence: Risk Assessment and Considerations for the Future

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
Balu N. Ilag, Yogesh Athave

Balu N Ilag and Yogesh Athave. Artificial Intelligence: Risk Assessment and Considerations for the Future. International Journal of Computer Applications 181(43):47-49, March 2019. BibTeX

	author = {Balu N. Ilag and Yogesh Athave},
	title = {Artificial Intelligence: Risk Assessment and Considerations for the Future},
	journal = {International Journal of Computer Applications},
	issue_date = {March 2019},
	volume = {181},
	number = {43},
	month = {Mar},
	year = {2019},
	issn = {0975-8887},
	pages = {47-49},
	numpages = {3},
	url = {},
	doi = {10.5120/ijca2019918529},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The rapid growth of artificial intelligence is fast impacting other sectors like governance, security, economics and health. Artificial intelligence and associated machines have the potential to change the world as people know it through improvements the human condition and better decision making. With the growth of artificial intelligence, however, there is an increasing need to assess risk factors and develop mitigating plans. New technologies replacing human intervention pose a threat to existing weaknesses in areas social structures, economic systems and general human defenses. This paper looks at the transformative nature of artificial intelligence and investigates the need for a more proactive risk assessment framework in the development of technologies in this area.


  1. Artificial Intelligence: Machines, man and intelligence. (2018). March/April 2018. doi:10.1287/lytx.2018.02.03
  2. Bartoš, V. (2015). Biological and Artificial Machines. Topics in Intelligent Engineering and Informatics, 201-210. doi:10.1007/978-3-319-09668-1_15
  3. Harris, M. C. (2010). Artificial Intelligence. Singapore: Marshall Cavendish.
  4. Huang, T. S., Nijholt, A., Pantic, M., & Pentland, A. (2007). Artificial Intelligence for Human Computing: ICMI 2006 and IJCAI 2007 International Workshops, Banff, Canada, November 3, 2006 Hyderabad, India, January 6, 2007 Revised Selected Papers. Basingstoke, England: Springer.
  5. Johnsen, M. (2017). The Future of Artificial Intelligence in Digital Marketing: The next big technological break. Maria Johnsen.
  6. Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607-610. doi:10.1177/001316447003000308
  7. Kurki, V. A., & Pietrzykowski, T. (2017). Legal Personhood: Animals, Artificial Intelligence and the Unborn. Basingstoke, England: Springer.
  8. Waser, M. R. (2010). Designing a Safe Motivational System for Intelligent Machines. Proceedings of the 3d Conference on Artificial General Intelligence (AGI-10). doi:10.2991/agi.2010.21


AI, Artificial Intelligence