AI Consumer Privacy, Risks, Ethics: An Annotated Bibliography Report

This annotated bibliography examines the impact of Artificial Intelligence (AI) on consumer privacy, industry risks, and ethical concerns. It references a qualitative study that explores these issues through questionnaires and data collection from consumers in various sectors like healthcare and industry. The research aims to understand the challenges AI poses to industrial markets and the ethical considerations for both industries and consumers. The bibliography highlights the potential benefits of AI, such as cost savings and disease detection, while also acknowledging the risks associated with its implementation, including miscalculations and the need for further research in self-learning algorithms. The effectiveness of the qualitative research approach in providing a roadmap for future studies on AI applications, risks, and ethical viewpoints is also discussed.

Annotated Bibliography of Qualitative
Studies
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Table of Contents
Abstract.......................................................................................................................................................3
Qualitative research design.........................................................................................................................3
Questionnaire..........................................................................................................................................3
The participants.......................................................................................................................................4
The sampling plan....................................................................................................................................4
Collection of data....................................................................................................................................4
Effectiveness of the research procedure.....................................................................................................4
Bibliography...............................................................................................................................................5
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Abstract
Artificial Intelligence (AI) is the latest technological introduction to enhance life style of
human being to make privacy issue more methodical and interesting. This technology is
implemented through devices to challenge the security aspects of consumers,
developers and industries. In case of industries adopting AI has to emphasize on ethical
issues. For example, customers of automotive industry have concern about AI while
driving a vehicle. AI has shown big prospects in different sphere of life. Automation can
cause saving money and time of any organization with subsequent reduction of mishaps
related to security and safety. AI has shown substantial contribution in detection of
disease. Early detection of these diseases can ensure stoppage of further advancement
of the diseases or to mitigate them. AI has shown remarkable contribution in the field of
teaching the kids with special abilities like autism spectrum disorder or ASD to ensure
quality life. (CDC, 2017) AI is through the ongoing development process by applying
latest technology. Due to fresh application of these new technologies, different incidents
occur related to miscalculation of AI. Presently the human resource deployed in the field
of application of AI has limited knowledge about the process management with probable
route maps. This situation leads to indefinite determination of result of AI application.
Aspired early birds of AI application in industry have to face the consequences of
unwanted AI risk without the knowledge of rectifying them. Further research and
development is necessary to find out the option of self-learning and training algorithm by
the machineries. (Brubaker, 2018)
Qualitative research design
The basic purpose of this qualitative research was to find out the effect of AI on
consumers and industry market in respect of security, risks and ethical issues.
(Mohajon, 2018)
Questionnaire
The questions set for this research are:
a) What is the role of AI on privacy of consumers?
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b) What are the challenges posed to industrial market by AI?
c) What are the basic issues of ethics applicable for both industrial market and
consumers?
The participants
Mainly the participants for this qualitative research are from the US citizen for research
questionnaire to conclude on decisive manner.
The sampling plan
The sampling plan used by the researcher was dependent on different data of specified
fields using AI issued by authentic bodies.
Collection of data
Collection of data is basically done from consumers of different fields like healthcare,
medical care, industry and others to derive the response of the consumers on privacy,
challenges and ethics for individual and organizations. (Topper, 2018)
Effectiveness of the research procedure
This research is done to find out security, risk and ethical issues of AI in perspective of
individual customer and industrial organization. It is evident that use of AI can prove
worthiness in respect of saving money and fast application. The research process with
its qualitative approach, participation style, sampling plan, collection of data seems to
be effective to make roadmap for the future research on this subject and can contribute
in positive manner to the upcoming researches on AI application with its risks and
ethical view point for the individual and industrial market.
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Bibliography
Brubaker, K. (2018). ARTIFICIAL INTELLIGENCE: ISSUES OF CONSUMER
PRIVACY, INDUSTRY RISKS,AND ETHICAL CONCERNS. Utica College,
Master of Science in cybersecurity. Ann Arbor: ProQuest.
CDC. (2017, March 10). Data & Statistics on Autism Spectrum Disorder. Retrieved April
6, 2019, from Centre for Diesease Control and Prevention:
https://www.cdc.gov/ncbddd/autism/data.html
Mohajon, H. (2018). Qualitative Research Methodology in Social Sciences and Related
Subjects. Journal of Economic Development, Environment and People , 7 (1),
23-48.
Topper. (2018, April 12). Collection of Data – Meaning, Types, Sources, Methods.
Retrieved April 6, 2019, from Topper: https://www.toppr.com/bytes/collection-of-
data/
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