Search Results for author: Niva Elkin-Koren

Found 3 papers, 0 papers with code

Not All Similarities Are Created Equal: Leveraging Data-Driven Biases to Inform GenAI Copyright Disputes

no code implementations26 Mar 2024 Uri Hacohen, Adi Haviv, Shahar Sarfaty, Bruria Friedman, Niva Elkin-Koren, Roi Livni, Amit H Bermano

The advent of Generative Artificial Intelligence (GenAI) models, including GitHub Copilot, OpenAI GPT, and Stable Diffusion, has revolutionized content creation, enabling non-professionals to produce high-quality content across various domains.

Can Copyright be Reduced to Privacy?

no code implementations24 May 2023 Niva Elkin-Koren, Uri Hacohen, Roi Livni, Shay Moran

In this work, we examine whether such algorithmic stability techniques are suitable to ensure the responsible use of generative models without inadvertently violating copyright laws.

The Case Against Explainability

no code implementations20 May 2023 Hofit Wasserman Rozen, Niva Elkin-Koren, Ran Gilad-Bachrach

Accordingly, this study carries some important policy ramifications, as it calls upon regulators and Machine Learning practitioners to reconsider the widespread pursuit of end-user Explainability and a right to explanation of AI systems.

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