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The Ethical Limits of AI Advancement
Shirl C. Thompson
Liberty University
ENG 101: Composition and Rhetoric (B21)
Professor Emily Underwood
February 10, 2025
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Thesis Statement
Human advancement in artificial intelligence (AI) should be regulated to balance innovation with
ethical considerations, ensuring societal welfare and preventing potential misuse, as unchecked
progression of AI could lead to unforeseen and possibly harmful consequences.
Introduction
Background Information: Introduce the concept of artificial intelligence, its rapid growth,
and applications across various sectors.
Purpose: Present the purpose of exploring the ethical boundaries and implications of AI's
progression.
Thesis Statement: Clearly state the thesis addressing the ethical limitations of AI
advancement.
Body
I. Ethical Considerations
Subtopic: Human Dignity and Autonomy
oEvidence:
Reference: Bounded Religious Automation at Work: Communicating
Human Authority in Artificial Intelligence Networks – Discuss the
importance of maintaining human dignity and autonomy in the face of AI
advancements.
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Reference: The Ethics of Psychological AI – Highlight the ethical
concerns regarding AI's impact on mental health and human psychological
well-being.
Subtopic: Reliability and Trustworthiness
oEvidence:
Reference: In AI We Trust: Ethics, Artificial Intelligence, and Reliability –
Emphasize the significance of developing reliable and trustworthy AI
systems to maintain public trust.
Reference: The Dawn of the AI Robots: Towards a New Framework of AI
Robot Accountability – Discuss the need for accountability and robust
frameworks to ensure the reliability of AI systems.
II. Societal Welfare
Subtopic: AI in Education
oEvidence:
Reference: Generative Artificial Intelligence in Information Systems
Education: Challenges, Consequences, and Responses – Analyze the
benefits and challenges of using AI in educational settings and its impact
on learning experiences.
Subtopic: AI in Marketing for Social Good
oEvidence:
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Reference: Leveraging Artificial Intelligence in Marketing for Social
Good—An Ethical Perspective – Explore how AI can be used ethically in
marketing to promote social good and address societal challenges.
III. Prevention of Potential Misuse
Subtopic: Accountability and Regulation
oEvidence:
Reference: The Dawn of the AI Robots: Towards a New Framework of AI
Robot Accountability – Discuss the need for a robust framework to ensure
accountability and regulation of AI systems to prevent misuse.
Reference: Generative Artificial Intelligence in Information Systems
Education: Challenges, Consequences, and Responses – Highlight the
importance of educating future generations on the ethical use and potential
consequences of AI technology.
IV. Opposing Arguments
Subtopic: Unrestricted Innovation
oArgument: Proponents argue that unrestricted AI innovation is essential for rapid
technological advancement and economic growth.
oCounterargument:
Address the importance of balancing innovation with ethical
considerations and societal welfare to avoid potential harm.
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Reference: Bounded Religious Automation at Work: Communicating
Human Authority in Artificial Intelligence Networks – Discuss the
potential risks of unrestricted AI development and the need for ethical
boundaries.
Conclusion
Restate Thesis: Reinforce the thesis statement on the necessity of regulating AI
advancements.
Summary of Main Points: Briefly summarize the key points discussed in the body
paragraphs.
Call to Action: Advocate for the establishment of ethical guidelines and regulatory
frameworks to ensure the responsible progression of AI technology.
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References
Cheong, P. H. (2021). Bounded religious automation at work: Communicating human authority
in artificial intelligence networks. Journal of Communication Inquiry, 45(1), 5-23.
https://doi.org/10.1177/0196859920977133
Van Slyke, C., Johnson, R. D., & Sarabadani, J. (2023). Generative artificial intelligence in
information systems education: Challenges, consequences, and responses. Communications of
the Association for Information Systems, 53, 1-21. https://doi.org/10.17705/1CAIS.05301
Ryan, M. (2020). In AI we trust: Ethics, artificial intelligence, and reliability. Science and
Engineering Ethics, 26, 2749-2767. https://doi.org/10.1007/s11948-020-00228-y
Hermann, E. (2022). Leveraging artificial intelligence in marketing for social good—An ethical
perspective. Journal of Business Ethics, 179(1), 43-61. https://doi.org/10.1007/s10551-021-
04843-y
Fulmer, R., Davis, T., Costello, C., & Joerin, A. (2021). The ethics of psychological artificial
intelligence: Clinical considerations. Counseling and Values, 66(2), 131-144.
https://doi.org/10.1002/cvj.12153
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Tóth, Z., Caruana, R., Gruber, T., & Loebbecke, C. (2022). The dawn of the AI robots: Towards a
new framework of AI robot accountability. Journal of Business Ethics, 178, 895-916.
https://doi.org/10.1007/s10551-022-05050-z
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