包阅导读总结
1. 关键词：Generative AI、Design Principles、Frictionless Experiences、Build Trust、Prioritize Goals
2. 总结：本文介绍了谷歌云应用人工智能工程团队在生成式 AI 设计中的经验，分享了三条总体设计原则，包括提供无摩擦体验、通过透明建立信任、优先考虑目标，并对每个原则给出了建议。
3. 主要内容：
– 设计考虑：生成式 AI 正在改变技术交互方式，谷歌云团队在多个领域进行了相关设计开发，并总结经验帮助他人。
– 设计原则一：提供无摩擦体验
– 设计直观、流畅的交互，减少使用障碍。
– 明确指示 AI 正在执行的动作或生成的内容。
– 设计原则二：通过透明建立信任
– 解释 AI 在用户旅程中的角色。
– 公开系统的能力和限制。
– 设计原则三：优先考虑目标
– 确定是追求增强参与度还是提高转化率等。
思维导图：
文章地址：https://cloud.google.com/blog/products/ai-machine-learning/design-considerations-for-gen-ai/
文章来源：cloud.google.com
作者：Khulan Davaajav,Hussain Chinoy
发布时间：2024/7/31 0:00
语言：英文
总字数：1196字
预计阅读时间：5分钟
评分：85分
标签：生成式 AI,AI 设计原则,用户体验,AI 透明度,AI 信任
以下为原文内容
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Generative AI is transforming the way we interact with technology. At Google Cloud, our Applied AI Engineering team has shaped the design and development of generative AI solutions for Generative AI for Marketing, Customer Experience Modernization, and Open Data QnA (NL2SQL), among others. Throughout this process, we’ve gained valuable insights that we believe can help others to successfully and responsibly design and implement these cutting-edge technologies. In this blog post, we’ll share valuable lessons learned with three overarching design principles:
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Offer Frictionless Experiences: Design interactions that are intuitive, streamlined, and minimize any barriers to use.
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Build Trust Through Transparency: Explain AI’s role in the user journey. Be open about the system’s capabilities and limitations.
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Prioritize Your Goals: Determine whether you aim for enhanced engagement, increased conversion rates, or something else entirely.
Offer Frictionless Experiences
Indicate what action is being performed by AI or what content is being generated by AI
Openly communicating AI’s role in the user experience builds trust and empowers users. Transparency sets realistic expectations and prevents confusion or feeling misled. By clearly signaling when AI is involved, users can develop an accurate understanding of the system and how best to interact with it.
Recommendation:
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Implement clear visual cues, such as icons, color coding, or text labels, to distinguish AI-generated content or actions.
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Offer progressive disclosure mechanisms, allowing users to request more detail about how a particular output was generated.
