ARTIFICIAL INTELLIGENCE: EXPLORING ETHICAL CHALLENGES AND ALGORITHMIC BIAS
DOI:
https://doi.org/10.65164/0m872202Ключевые слова:
Artificial Intelligence, Ethics, Algorithmic Bias, Fairness, Discrimination, Social Impact, Responsible AI, StereotypesАннотация
This article explores the ethical implications and potential biases of artificial
intelligence (AI) in both complex decision-making processes and everyday life scenarios. AI systems,
while increasingly capable and autonomous, can inadvertently reinforce existing social biases, exhibit
discriminatory behavior towards certain groups, genders, or cultural backgrounds, and perpetuate
harmful stereotypes. These ethical challenges are compounded by the rapid evolution of AI
technologies, which often outpace the development of regulatory frameworks and societal
understanding. By examining real-world examples and current research, this study highlights the
importance of integrating ethical principles, fairness, and accountability into AI design and
deployment. Addressing these issues is critical to ensuring that AI contributes positively to society
while minimizing unintended harm.
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