人工智能的进步:对创意产业的回顾
Nantheera Anantrasirichai1, Fan Zhang1, David Bull1
1Visual Information Laboratory, University of Bristol, Bristol, UK.
概括
包括大型语言模型 (LLM) 和扩散模型在内的生成人工智能正在彻底改变创意产业. 这篇评论详细介绍了最近的AI进步及其对内容创建,分析和生产的影响,强调了挑战和未来的方向.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 创意技术 创意技术 创意技术
背景情况:
- 自2022年以来,最近的AI进步,特别是生成性AI,LLM和扩散模型,已经显著影响了创意产业.
- 现有的审查没有全面覆盖整个创意生产管道中的这些综合突破.
研究的目的:
- 从2022年开始,系统地审查新兴的人工智能技术及其在创意领域的应用.
- 分析人工智能从支持工具转变为核心创意技术的转变.
- 检查人类-人工智能协作的不断变化的格局,并确定新出现的挑战.
主要方法:
- 对人工智能技术及其在创意生产中的应用进行系统的文献审查.
- 分析变压器,LLM,扩散模型和隐性神经表示的进步.
- 检查统一的人工智能框架和人类-人工智能合作的趋势.
主要成果:
- 人工智能技术现在在文本到图像/视频生成,3D重建和多任务框架中提供了新的功能.
- 观察到一个趋势,即统一的AI框架将多个创意任务集成在一起.
- 人类监督对于创造性方向和缓解AI幻觉至关重要.
结论:
- 人工智能正在改变创意产业,超越支持角色,成为完整的创意技术.
- 新出现的挑战包括版权,偏见,计算成本和监管需求.
- 本综述提供了对当前人工智能能力,局限性和创意应用的未来轨迹的全面了解.
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