# AI and the creative realm: A short review of current and future applications

arXiv: https://arxiv.org/abs/2306.01795 · HTML: https://mlsanity.com/paper/2306.01795/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 14 of its 86 references that are in the map.
- First posted on arXiv 1 Jun 2023.

## Builds on (most cited first, 14 of 14)

- [Make-A-Video: Text-to-Video Generation without Text-Video Data](https://mlsanity.com/paper/2209.14792/) (2022)
- [Alias-Free Generative Adversarial Networks](https://mlsanity.com/paper/2106.12423/) (2021)
- [Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals](https://mlsanity.com/paper/2209.14958/) (2022)
- [Video Generation From Text](https://mlsanity.com/paper/1710.00421/) (2017)
- [ChatGPT is not all you need. A State of the Art Review of large Generative AI models](https://mlsanity.com/paper/2301.04655/) (2023)
- [Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward](https://mlsanity.com/paper/2103.00484/) (2021)
- [Artificial Intelligence in the Creative Industries: A Review](https://mlsanity.com/paper/2007.12391/) (2020)
- [Understanding and Creating Art with AI: Review and Outlook](https://mlsanity.com/paper/2102.09109/) (2021)
- [Rewriting Geometric Rules of a GAN](https://mlsanity.com/paper/2207.14288/) (2022)
- [TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator](https://mlsanity.com/paper/2009.02018/) (2020)
- [Music Composition with Deep Learning: A Review](https://mlsanity.com/paper/2108.12290/) (2021)
- [DeepCloud. The Application of a Data-driven, Generative Model in Design](https://mlsanity.com/paper/1904.01083/) (2019)
- [Developing Creative AI to Generate Sculptural Objects](https://mlsanity.com/paper/1908.07587/) (2019)
- [Evolution of artificial intelligence languages, a systematic literature review](https://mlsanity.com/paper/2101.11501/) (2021)

## Abstract (arXiv)

This study explores the concept of creativity and artificial intelligence (AI) and their recent integration. While AI has traditionally been perceived as incapable of generating new ideas or creating art, the development of more sophisticated AI models and the proliferation of human-computer interaction tools have opened up new possibilities for AI in artistic creation. This study investigates the various applications of AI in a creative context, differentiating between the type of art, language, and algorithms used. It also considers the philosophical implications of AI and creativity, questioning whether consciousness can be researched in machines and AI's potential interests and decision-making capabilities. Overall, we aim to stimulate a reflection on AI's use and ethical implications in creative contexts.