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The rapid integration of generative AI technology across various domains has brought forth a complex interplay between technological advancements, legal frameworks, and ethical considerations. In a world where generative AI has transcended its initial novelty and is now woven into the fabric of everyday life, the boundaries of human creativity and machine-generated output are becoming increasingly blurred. The paper scrutinizes existing privacy laws and regulations through the lens of generative AI, seeking to uncover gaps, challenges, and possible avenues for reform. It explores the evolution of jurisprudence in the face of technological disruption and debates the adequacy of current legal frameworks to address the dynamic complexities of AI-influenced privacy infringements. By scrutinizing cases where personal data has been exploited by nefarious actors employing generative AI for malevolent purposes, a stark reality emerges: the emergence of a new avenue for privacy breaches that tests the limits of existing legal frameworks.
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Stored only when both papers are in the corpus — 85 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.