Prompt-based interfaces for Large Language Models (LLMs) have made
prototyping and building AI-powered applications easier than ever before.
However, identifying potential harms that may arise from AI applications
remains a challenge, particularly during prompt-based prototyping. To address
this, we present Farsight, a novel in situ interactive tool that helps people
identify potential harms from the AI applications they are prototyping. Based
on a user's prompt, Farsight highlights news articles about relevant AI
incidents and allows users to explore and edit LLM-generated use cases,
stakeholders, and harms. We report design insights from a co-design study with
10 AI prototypers and findings from a user study with 42 AI prototypers. After
using Farsight, AI prototypers in our user study are better able to
independently identify potential harms associated with a prompt and find our
tool more useful and usable than existing resources. Their qualitative feedback
also highlights that Farsight encourages them to focus on end-users and think
beyond immediate harms. We discuss these findings and reflect on their
implications for designing AI prototyping experiences that meaningfully engage
with AI harms. Farsight is publicly accessible at:
this https URL

利用 Farsight 工具，基于用户的提示信息，我们能更好地识别与此提示相关的潜在危害，同时发现该工具比现有资源更有用和易用，鼓励以终端用户为重心并超越直接伤害进行思考，这些发现对设计有意义的 AI 原型体验具有重要启示。

Farsight：AI 应用原型期间培养负责任的 AI 认知

Farsight: Fostering Responsible AI Awareness During AI Application  Prototyping

In recent years, the CHI community has seen significant growth in research on
Human-Centered Responsible Artificial Intelligence. While different research
communities may use different terminology to discuss similar topics, all of
this work is ultimately aimed at developing AI that benefits humanity while
being grounded in human rights and ethics, and reducing the potential harms of
AI. In this special interest group, we aim to bring together researchers from
academia and industry interested in these topics to map current and future
research trends to advance this important area of research by fostering
collaboration and sharing ideas.

本研究聚焦于人类中心的负责任的人工智能研究，旨在开发符合人权与伦理规范、减少潜在危害的 AI，通过学术界和工业界的合作与思想共享推进该领域的未来研究趋势和发展。

以人为本的负责任人工智能：当前和未来趋势

Human-Centered Responsible Artificial Intelligence: Current & Future Trends

Generative AI technologies are growing in power, utility, and use. As
generative technologies are being incorporated into mainstream applications,
there is a need for guidance on how to design those applications to foster
productive and safe use. Based on recent research on human-AI co-creation
within the HCI and AI communities, we present a set of seven principles for the
design of generative AI applications. These principles are grounded in an
environment of generative variability. Six principles are focused on designing
for characteristics of generative AI: multiple outcomes & imperfection;
exploration & control; and mental models & explanations. In addition, we urge
designers to design against potential harms that may be caused by a generative
model's hazardous output, misuse, or potential for human displacement. We
anticipate these principles to usefully inform design decisions made in the
creation of novel human-AI applications, and we invite the community to apply,
revise, and extend these principles to their own work.

介绍了基于 HCI 和 AI 社区的人工智能协作的最新研究，提出了七个面向多个结果和潜在危害的生成式人工智能设计原则。