# The ethical situation of DALL-E 2

arXiv: https://arxiv.org/abs/2405.19176 · HTML: https://mlsanity.com/paper/2405.19176/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 6 of its 18 references that are in the map.
- First posted on arXiv 29 May 2024.

## Builds on (most cited first, 6 of 6)

- [Hierarchical Text-Conditional Image Generation with CLIP Latents](https://mlsanity.com/paper/2204.06125/) (2022)
- [Carbon Emissions and Large Neural Network Training](https://mlsanity.com/paper/2104.10350/) (2021)
- [Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models](https://mlsanity.com/paper/2102.02503/) (2021)
- [FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing](https://mlsanity.com/paper/2403.07406/) (2024)
- [Neuro-symbolic model for cantilever beams damage detection](https://mlsanity.com/paper/2305.03063/) (2023)
- [Ethical and Social Aspects of Self-Driving Cars](https://mlsanity.com/paper/1802.04103/) (2018)

## Abstract (arXiv)

A hot topic of Artificial Intelligence right now is image generation from prompts. DALL-E 2 is one of the biggest names in this domain, as it allows people to create images from simple text inputs, to even more complicated ones. The company that made this possible, OpenAI, has assured everyone that visited their website that their mission is to ensure that artificial general intelligence benefits all humanity. A noble idea in our opinion, that also stood as the motive behind us choosing this subject. This paper analyzes the ethical implications of an AI image generative system, with an emphasis on how society is responding to it, how it probably will and how it should if all the right measures are taken.