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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/artificial-creativity
课程评论：没有评论
课程名称：人工创造力 课程概述：人工创造力课程旨在从设计的角度探索新兴的人工智能（A.I.）领域，目的是将有编程背景的人和更“传统”的创意者结合在一起。在本课程中，学员将回顾如今人工智能的历史和理论，分析推动该领域发展的非传统方法，利用当前的人工智能工具，并实践可以应用于日常商业决策的设计思维方法论。学员还将考察创造性人工智能在日常生活中的潜力，通过观察、反思性写作和讨论提示，实施各种设计研究方法。此外，学员将在课上积极参与和合作，同时挑战自己对创造力的定义，深入了解那些改变机器能力范式的人和项目。在整个课程中，学员将离开计算机，完成一个应用所学技巧和理论的项目。该课程的模块比一般在线学习经历更具反思性和自我指导性，鼓励学员在学习过程中超越自己的舒适区。 课程大纲： 1. **机器能否创造？** - 描述：在本模块中，你将学习本课程的期望，探索机器创造力，并开始你的首次设计研究观察。 2. **人工智能的诗意科学** - 描述：在本模块中，你将了解人工创造力的多学科起源，识别图灵测试，定义智能，实验多个GPT-2，并进行设计研究分析。 3. **人工创造力背后的高级理论与技术：第一部分** - 描述：本模块将使你了解符号法对人工智能的影响，如何将符号法应用于创造性项目，如何进行模型模拟，以及如何进行设计研究访谈。 4. **如何让事物变得有创造性 II** - 描述：本模块将探讨相关于人工智能的亚符号理论，如何在创造性项目中使用亚符号方法，如何进行基于人工智能的创造性实验，以及如何进行设计研究的构思。 5. **你愿意与机器合作吗？** - 描述：在本模块中，你将学习计算创造力的新兴领域，通过概念、案例研究和基于生成对抗网络（GAN）的实验，利用设计研究构建LoFi原型。 通过这些模块，学员将深入了解人工智能与设计的交叉领域，并利用所学知识推动他们的创意实践。
Name:Can Machines Be Creative?
Description:In this module, you will learn what to expect throughout this course, explore machine creativity, and start your first design research observation.
Name:The Poetical Science of AI
Description:In this module, you will learn about the multidisciplinary beginnings of Artificial Creativity, identify the Turing Test, define intelligence, experiment with multiple GPT-2s, and conduct design research analysis.
Name:Advanced Theories and Techniques Behind Artificial Creativity: Part I
Description:In this module, you will learn about what informed the symbolic approach to AI, how the symbolic approach can be used for creative projects, how to conduct a model simulation, and how to conduct a design research interview.
Name:How to Make Things Creative II
Description:In this module, you will learn about theories on the subsymbolic approach to AI, how to use the subsymbolic approach in a creative project, how to conduct an AI-based creative experiment, and how to conduct design research ideation.
Name:Would You Collaborate With a Machine?
Description:In this module, you will learn about the emerging field of computational creativity through concepts, case studies, and GAN-based experiments. You will construct a LoFi prototype using your design research.
Artificial Creativity is about exploring the emerging field of artificial intelligence (A.I.) from a design perspective with the intent to bring those with a programming background and more “traditional” creatives together. In this course, you will look back at the history and theories behind today's A.I., analyze the unorthodox approaches that have advanced the field, utilize current A.I. tools, and practice design thinking methodologies that can be applied to everyday business decision making. You will examine the potential of creative A.I. in everyday experience. You will implement various design research methodologies through observation, reflective writing and discussion prompts. Then, you will actively engage and collaborate with others in the class while challenging your own definitions of creativity by taking a closer look at the people and projects that have changed the paradigm of what machines can do. Throughout the course, you will step away from your computer and complete a project applying the techniques and theories you’ll have just learned. The modules in this course are more reflective and self-directed than other online learning experiences that you may have had in the past, and you are encouraged to stretch beyond your comfort level as you work through the the modules.
