Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
Title | UXAI: |
Description | A Visual Introduction UXAI is a website that provides AI product teams with ways to explore the basics of AI and explainability concepts in a playful and approachable |
Keywords | N/A |
WebSite | uxai.design |
Host IP | 75.2.70.75 |
Location | United States |
Site | Rank |
US$469,495
Last updated: 2023-05-18 05:17:03
uxai.design has Semrush global rank of 22,544,047. uxai.design has an estimated worth of US$ 469,495, based on its estimated Ads revenue. uxai.design receives approximately 54,173 unique visitors each day. Its web server is located in United States, with IP address 75.2.70.75. According to SiteAdvisor, uxai.design is safe to visit. |
Purchase/Sale Value | US$469,495 |
Daily Ads Revenue | US$434 |
Monthly Ads Revenue | US$13,002 |
Yearly Ads Revenue | US$156,017 |
Daily Unique Visitors | 3,612 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
uxai.design. | A | 3600 | IP: 75.2.70.75 |
uxai.design. | A | 3600 | IP: 99.83.190.102 |
uxai.design. | NS | 21600 | NS Record: ns-cloud-b2.googledomains.com. |
uxai.design. | NS | 21600 | NS Record: ns-cloud-b3.googledomains.com. |
uxai.design. | NS | 21600 | NS Record: ns-cloud-b4.googledomains.com. |
uxai.design. | NS | 21600 | NS Record: ns-cloud-b1.googledomains.com. |
A Visual Introduction to Explainable AI for designers This resource was created to familiarize user experience (UX) designers with concepts in Artificial Intelligence (AI) and Explainable Artificial Intelligence (XAI) and provide tools that support a human-centered approach to designing explainable interfaces for AI products and services. AI Basics Explore the landscape and basic concepts of Artificial Intelligence (AI). Explainable AI Understand the background and importance of Explainable AI (XAI). Design Strategy Learn how to explain an AI system in order to improve the user experience. Toolkit Beta Experiment with different questions and explanations to create explainable interfaces. Glossary Key terms and concepts in AI and explainability. This website was created by Master’s students from the School of Information at the University of California, Berkeley in 2020. This is a living resource, an ongoing conversation about the UX of XAI that we hope you will participate in by |
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