生成语法
计算机科学
生成设计
生成模型
人工智能
编码(集合论)
认知科学
人机交互
工程类
心理学
程序设计语言
公制(单位)
运营管理
集合(抽象数据类型)
作者
Michael Müller,Anna Kantosalo,Mary Lou Maher,Charles Martín,Greg Walsh
标识
DOI:10.1145/3613905.3636294
摘要
This workshop applies human centered themes to a new and powerful technology, generative artificial intelligence (AI), and - among other approaches - particularly to Large Language Models (LLMs) and Foundation Models (FMs). Unlike AI systems that produce decisions or descriptions, generative AI systems can produce new and creative content that can include images, texts, music, video, code, and other forms of design. The results are often similar to results produced by humans. However, it is not yet clear how humans make sense of generative AI algorithms or their outcomes. It is also not yet clear how humans can control and more generally, interact with, these powerful capabilities in ethical ways. Finally, it is not clear what kinds of collaboration patterns will emerge when creative humans and creative technologies work together.
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