# Identifying Ethical Issues in AI Partners in Human-AI Co-Creation

arXiv: https://arxiv.org/abs/2204.07644 · HTML: https://mlsanity.com/paper/2204.07644/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 25 references that are in the map.
- First posted on arXiv 15 Apr 2022.

## Builds on (most cited first, 1 of 1)

- [Evaluating Creativity in Computational Co-Creative Systems](https://mlsanity.com/paper/1807.09886/) (2018)

## Built on by (most cited first, 5 of 5)

- [LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing](https://mlsanity.com/paper/2402.10294/) (2024)
- [Beyond the Chat: Executable and Verifiable Text-Editing with LLMs](https://mlsanity.com/paper/2309.15337/) (2023)
- [Constructing Dreams using Generative AI](https://mlsanity.com/paper/2305.12013/) (2023)
- [An Ontology of Co-Creative AI Systems](https://mlsanity.com/paper/2310.07472/) (2023)
- [ACAI for SBOs: AI Co-creation for Advertising and Inspiration for Small Business Owners](https://mlsanity.com/paper/2503.06729/) (2025)

## Abstract (arXiv)

Human-AI co-creativity involves humans and AI collaborating on a shared creative product as partners. In many existing co-creative systems, users communicate with the AI using buttons or sliders. However, typically, the AI in co-creative systems cannot communicate back to humans, limiting their potential to be perceived as partners. This paper starts with an overview of a comparative study with 38 participants to explore the impact of AI-to-human communication on user perception and engagement in co-creative systems and the results show improved collaborative experience and user engagement with the system incorporating AI-to-human communication. The results also demonstrate that users perceive co-creative AI as more reliable, personal and intelligent when it can communicate with the users. The results indicate a need to identify potential ethical issues from an engaging communicating co-creative AI. Later in the paper, we present some potential ethical issues in human-AI co-creation and propose to use participatory design fiction as the research methodology to investigate the ethical issues associated with a co-creative AI that communicates with users.