# Legal Aspects for Software Developers Interested in Generative AI Applications

arXiv: https://arxiv.org/abs/2404.16630 · HTML: https://mlsanity.com/paper/2404.16630/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 15 references that are in the map.
- First posted on arXiv 25 Apr 2024.

## Builds on (most cited first, 2 of 2)

- [Quantifying Memorization Across Neural Language Models](https://mlsanity.com/paper/2202.07646/) (2022)
- [Safe Reinforcement Learning via Shielding](https://mlsanity.com/paper/1708.08611/) (2017)

## Built on by (most cited first, 1 of 1)

- [LLM Company Policies and Policy Implications in Software Organizations](https://mlsanity.com/paper/2510.06718/) (2025)

## Abstract (arXiv)

Recent successes in Generative Artificial Intelligence (GenAI) have led to new technologies capable of generating high-quality code, natural language, and images. The next step is to integrate GenAI technology into products, a task typically conducted by software developers. Such product development always comes with a certain risk of liability. Within this article, we want to shed light on the current state of two such risks: data protection and copyright. Both aspects are crucial for GenAI. This technology deals with data for both model training and generated output. We summarize key aspects regarding our current knowledge that every software developer involved in product development using GenAI should be aware of to avoid critical mistakes that may expose them to liability claims.