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How far should humans be allowed to proceed with artificial intelligence?
Thesis Statement
Human progress with AI should be cautiously advanced, with strict ethical oversight that ensures
transparency, accountability, and respect for human autonomy. Innovation, in this approach, is
balanced with ethical responsibility; thus, it allows AI development while mitigating harm that
could be caused within society.
Outline
I. Introduction
A. Context: Artificial intelligence has rapidly emerged into areas of health, education, and
finance, creating big ethical problems.
B. Ethical Importance: The rapid integration of AI into everyday life affects privacy, decision-
making transparency, and human accountability and therefore calls for essential ethical
consideration.
C. Thesis: While AI has transformative potential, human development of AI should be limited by
ethical limits that enforce transparency, accountability, and respect for human autonomy if
society is to make sure safety and trust.
II. Presentation of Ethical Principles Supporting the Thesis
A. Importance of Transparency:
oThis will make the AI processes transparent, thus gaining public trust and further
offering oversight in the decisions affecting the livelihood of individuals.
oSupporting Evidence (Quote): According to In AI We Trust: Ethics, Artificial
Intelligence, and Reliability, transparency is fundamental to AI ethics, as it allows
individuals to understand and monitor AI-driven decisions.
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B. Need for Accountability:
Accountability in the context of AI development means holding an individual or
organization responsible for any positive or negative implications associated with AI
systems, preventing harm through mismanagement or malicious actions.
Supporting Evidence The paper "The Dawn of the AI Robots: Towards a New
Framework of AI Robot Accountability" discusses how accountability in AI prevents
harm by drawing a line of responsibility for all AI actions.
C. Respect for Human Autonomy:
AI needs to be designed in a way that it supplements, rather than supplants, human
decision-making, while protecting the individual's autonomy and agency.
My Supporting Evidence (Quote): Bounded Religious Automation at Work raises the
crucial issue of retaining human authority over AI for ethical applications respecting
human autonomy.
III. Acknowledgment of Opposing Viewpoints
A. AI’s Role in Efficiency and Innovation:
oThe setting of high ethical limits may, according to some, hold AI back from being
truly effective or creative, particularly with life-changing sectors such as healthcare
and education.
oEvidence: In the article Exploring the Opportunities and Challenges of NLP Models
in Higher Education: Is Chat GPT a Blessing or a Curse?, there is a discussion of the
possibility of AI simplifying processes to allow for the betterment of learning
processes in education; thus, acting positively if the technology is well utilized.
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B. Objectivity and Reduced Human Bias:
In this vein, proponents note that autonomous AI has less bias from humans; thus, more
objective and correct decisions in such matters as law enforcement and hiring are given.
Supporting Evidence: The summary on how generative AI in information systems
education will avail autonomous AI models with objective insight, with minimal
subjective human biases, is an added advantage in a data-driven environment.
IV. Rebuttal and Finding Common Ground
A. Ethical Constraints Enable Responsible Innovation:
oWhile efficiency and innovation are important, the setting of ethical bounds
assures long-term benefits through responsible AI development congruent with
the human ethos.
oSupporting Evidence [Quotation]: Leveraging Artificial Intelligence in Marketing
for Social Good—An Ethical Perspective exemplifies how ethical standards of AI
do not constrain innovation but foster sustainable and socially positive progress.
B. Shared Commitment to Beneficial AI Use:
oTherefore, both developers and ethicists work toward having a positively impactful AI
on society, hence the reason for consensus in pursuit of responsible guidelines for AI's
safe and beneficial development
oSupportive Evidence (Quotation): AI We Trust underpins the same objective between
developers and policymakers in constructing AI that offers benefit to society while
elaborating that public safety and trust are shared priorities.
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V. Conclusion
A. Restate Thesis: As AI continues to evolve, ethical boundaries—centered on
transparency, accountability, and respect for humankind—are important in developing
this capability with societal benefit while not compromising core values.
B. Call to Action: Stakeholders such as policymakers, developers, and society have the
duty to proclaim the guiding ethical standards for AI along a path that maximizes benefits
and responsibility.
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References
Lara, F., & Deckers, J. (2024). Ethics of Artificial Intelligence. Springer Nature.
Abbott, R. (2020). The reasonable robot : Artificial Intelligence and the law.
Cambridge University Press.
Cheong, P. H. (2020). 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
Fuchs, K. (2023). Exploring the opportunities and challenges of NLP models in higher
education: is Chat GPT a blessing or a curse? Frontiers in Education, 8(8).
https://doi.org/10.3389/feduc.2023.1166682
Hermann, E. (2021). 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
Dr. Dan Guernsey. (2023, December 19). There Is No AI Shortcut to Education -
Cardinal Newman Society. Cardinal Newman Society.
https://cardinalnewmansociety.org/there-is-no-ai-shortcut-to-education/?
gad_source=1&gclid=CjwKCAjwvKi4BhABEiwAH2gcw3CInSTzEBJGk-
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