Explainable Artificial Creativity

可解释的人工创造力

• 批准号: DP220101223
• 负责人: Prof Jon McCormack
• 金额: $ 28.77万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220101223
• 关键词: Explainable; Artificial; Creativity

This project aims to develop explainable models for creative AI systems which enable more productive and satisfying interactions between them and their human co-creators. This will boost both human and machine creativity through sustained, ongoing exchanges, leading to high-quality creative outcomes via automated ideation and more advanced human-machine collaborations. The proposed techniques will be validated with creative professionals, ensuring practical industry relevance. We expect the outcomes to include new methods that automatically generate persuasive explanations, new forms of communication including dialogues between creative AI systems and users, and new understanding of general aspects of explainability for creative AI systems.

该项目旨在为创意人工智能系统开发可解释的模型，使它们与其人类共同创造者之间的互动更加高效和令人满意。这将通过持续不断的交流提高人类和机器的创造力，通过自动化构思和更先进的人机协作产生高质量的创意成果。所提出的技术将由创意专业人士进行验证，确保实际的行业相关性。我们期望成果包括自动生成有说服力的解释的新方法、新的沟通形式（包括创意人工智能系统和用户之间的对话）以及对创意人工智能系统可解释性的一般方面的新理解。