Data Privacy in Artificial Intelligence

Authors

  • Ms. Mounica B  Sr. Asst. Professor, ISE Department, New Horizon College of Engineering, Bengaluru, Karnataka, India
  • Dakshata N. Ramteke   M. Tech. Scholar, Cyber Forensics and Information Security, ISE Department, New Horizon College of Engineering, Bengaluru, Karnataka, India

Keywords:

Data Privacy, Artificial Intelligence, Big Data

Abstract

Information, data privacy and security concerns are a persistent trend that we’ve been reporting on nearly every year since computers started booting up. As artificial intelligence is emerging with dynamic changes ,it works with both pro-cons in field of data privacy . Artificial intelligence magnifies the ability to use personal information in ways that can intrude on privacy interests by raising analysis of personal information to new levels of power and speed while artificial intelligence also helps in analyzing and detecting patterns in large volume of data called as big data which can be beneficial for some business as well as threat to data privacy.

References

  1. Artificial Intelligence and the Privacy Paradox of Opportunity, Big Data and The Digital Universe Gary Smith Amity University Dubai Dubai, United Arab Emirates ,2018
  2. Ethics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation Bernd Carsten Stahl | De Montfort University David Wright | Trilateral Research,2019
  3. J. Bossmann, “Top 9 Ethical Issues in Artificial Intelligence,” World Economic Forum, 21 Oct. 2016;
  4. W. Knight, “The Dark Secret at the Heart of AI,” MIT Technology Review, 11 Apr. 2017.
  5. C. Sandvig et al., “Auditing Algorithms: Research Methods for Detecting Discrimination on Internet Platforms,” Data Discrim. Convert. Crit. Concerns Product. Inq., 2014.
  6. M. d’Aquin et al., “Towards an ‘Ethics in Design’ Methodology for AI Research Projects,” AAAI/ACM Conf. Artificial Intelligence, Ethics, and Society, 2018.
  7. S. Tan et al., “Detecting Bias in Black-Box Models Using Transparent Model Distillation,” Oct. 2017.
  8. J.A. Kroll et al., “Accountable Algorithms,” Univ. Pa. Rev., 2016.
  9. O.J. Erdélyi and J. Goldsmith, “Regulating Artificial Intelligence Proposal for a Global Solution,” AAAI/ACM Conference on Artificial Intelligence, Ethics and Society, 2018.

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Published

2021-06-30

Issue

Section

Research Articles

How to Cite

[1]
Ms. Mounica B, Dakshata N. Ramteke , " Data Privacy in Artificial Intelligence" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 4, pp.60-65, May-June-2021.