Machines incorporating techniques from artificial intelligence and machine learning can work with human users on a moment-to-moment, real-time basis to generate creative outcomes, performances and artefacts. We define such systems collaborative, creative AI systems, and in this article, consider the theoretical and practical considerations needed for their design so as to support improvisation, performance and co-creation through real-time, sustained, moment-to-moment interaction. We begin by providing an overview of creative AI systems, examining strengths, opportunities and criticisms in order to draw out the key considerations when designing AI for human creative collaboration. We argue that the artistic goals and creative process should be first and foremost in any design. We then draw from a range of research that looks at human collaboration and teamwork, to examine features that support trust, cooperation, shared awareness and a shared information space. We highlight the importance of understanding the scope and perception of two-way communication between human and machine agents in order to support reflection on conflict, error, evaluation and flow. We conclude with a summary of the range of design challenges for building such systems in provoking, challenging and enhancing human creative activity through their creative agency.

中文翻译：

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与创意人工智能进行实时协作的设计注意事项

结合人工智能和机器学习技术的机器可以与人类用户实时、实时地合作，产生创造性的成果、表演和人工制品。我们定义了此类系统协作的、创造性的 AI 系统，并在本文中考虑了其设计所需的理论和实践考虑，以便通过实时、持续、即时的交互来支持即兴创作、表演和共同创造。我们首先概述创造性的人工智能系统，检查优势、机会和批评，以便在为人类创造性协作设计人工智能时得出关键考虑因素。我们认为，艺术目标和创作过程应该是任何设计的首要任务。然后，我们从一系列关注人类协作和团队合作的研究中得出结论，以检查支持信任、合作、共享意识和共享信息空间的特征。我们强调了解人和机器代理之间双向通信的范围和感知的重要性，以支持对冲突、错误、评估和流程的反思。最后，我们总结了构建此类系统的一系列设计挑战，以通过其创造性机构激发、挑战和增强人类的创造性活动。错误、评估和流程。最后，我们总结了构建此类系统的一系列设计挑战，以通过其创造性机构激发、挑战和增强人类的创造性活动。错误、评估和流程。最后，我们总结了构建此类系统的一系列设计挑战，以通过其创造性机构激发、挑战和增强人类的创造性活动。