Abstract: Artificial intelligence (AI) encompasses various technologies for creating intelligent systems, but ethical challenges like algorithmic bias and privacy concerns persist. Addressing these requires interdisciplinary collaboration and robust regulatory frameworks.
While AI shows promise in revolutionizing industries and improving efficiency, its integration into society demands attention to ethical, legal, and societal implications. This includes ensuring transparency, fairness, and accountability, alongside managing the impact on employment dynamics.
Keywords: Automation, Machine learning, Neural networks, Data analysis
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DOI:
10.17148/IJARCCE.2024.13638
