Legal Frameworks for AI Regulations
DOI:
https://doi.org/10.62802/ytst2927Keywords:
AI regulations, legal frameworks, accountability, data privacy, algorithmic bias, transparency, intellectual property, liability, global regulatory standards, ethical AIAbstract
The rapid proliferation of artificial intelligence (AI) technologies has created transformative opportunities across industries while introducing complex ethical, legal, and social challenges. As AI systems increasingly influence critical areas such as healthcare, finance, and governance, the development of comprehensive legal frameworks becomes paramount to ensure accountability, fairness, and transparency. This research explores the evolution of legal frameworks for AI regulations, focusing on key areas such as algorithmic accountability, data privacy, intellectual property rights, and liability for autonomous decision-making. By examining global regulatory efforts, including the EU’s AI Act and U.S. policy initiatives, the study highlights the challenges of harmonizing legal standards across jurisdictions. The research also addresses emerging issues, such as bias mitigation, transparency in AI development, and the ethical implications of automated decision-making. Through a multidisciplinary approach, this study aims to propose adaptive, forward-looking regulatory models that balance innovation with ethical oversight, fostering trust in AI technologies while safeguarding societal interests.
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