Moral borders and philosophical consideration of Artificial Intelligence: exploring responsibility, rights and ethical decision making

This study examines moral boundaries, rights, and ethical responsibility in Artificial Intelligence (AI), focusing on ethical decision-making. Using a systematic analysis of scientific sources, legal documents, and real-world AI applications in medicine and justice, the research highlights significant issues of accountability. AI algorithms have shown bias, particularly in legal systems, where recidivism risk assessments disproportionately affect ethnic groups, creating legal uncertainty. Similar biases appear in medical diagnoses, affecting conditions like lung cancer and tuberculosis. The study confirms that AI lacks consciousness and free will, meaning responsibility must remain with developers or users. While legal frameworks regulate AI ethics, they do not fully address independent decision-making. The findings emphasize the need for improved transparency and accountability in AI regulation.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-03-06
DOI
https://doi.org/10.5281/zenodo.14983153
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Moral borders and philosophical consideration of Artificial Intelligence: exploring responsibility, rights and ethical decision making

SHILAP Revista de lepidopterología
Artificial Intelligence in Healthcare and Education
article

Moral borders and philosophical consideration of Artificial Intelligence: exploring responsibility, rights and ethical decision making

article en

Abstract

This study examines moral boundaries, rights, and ethical responsibility in Artificial Intelligence (AI), focusing on ethical decision-making. Using a systematic analysis of scientific sources, legal documents, and real-world AI applications in medicine and justice, the research highlights significant issues of accountability. AI algorithms have shown bias, particularly in legal systems, where recidivism risk assessments disproportionately affect ethnic groups, creating legal uncertainty. Similar biases appear in medical diagnoses, affecting conditions like lung cancer and tuberculosis. The study confirms that AI lacks consciousness and free will, meaning responsibility must remain with developers or users. While legal frameworks regulate AI ethics, they do not fully address independent decision-making. The findings emphasize the need for improved transparency and accountability in AI regulation.

SHILAP Revista de lepidopterología
Peace, Justice and strong institutions
Openalex Percentile: Top 57%
Artificial Intelligence in Healthcare and Education
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