The Design of AI-Based Products: 13 Things to Consider
✓ Consider defaults that won't overwhelm the user while the system learns and gathers data. ✓ Let the user set up a threshold for notifications and suggestions. ✓ Adjust system behaviour according to the number of predictions it makes. ✓ Let the user intervene. ✓ Support correction. ✓ Support dismissal.
AI UX: 7 Principles of Designing Good AI Products
With the arrival of AI products, we enter a new era where machines start to behave differently. They not only perform our orders, but they do things by themselves. This will change how people react, how we behave and what we expect from these products.
Design of Artificial Intelligence Products
This is the class note of Design of Artificial Intelligence Products taught by John Zimmerman in the HCII at Carnegie Mellon University Professor asks us to think about an AI product or service and think about below questions. How is AI used in the product or service (what does it actually do)?
Designing intuitive UI/UX for AR
Designing AR experiences that are intuitive and easy to use is a crucial element of AR content creation. Yet it's something that can be very easily neglected by solo or small team creators - especially when juggling multiple roles without formal user experience training or the benefit of a QA team.
Design of AI Products and Services: An Annotated Syllabus
We live in a world where the coolest things that can be made with AI are most often envisioned by someone with a Ph.D. in machine learning. Very few of them, however, have expertise in giving form to new products or services that people experience as valuable or meaningful in day-to-day lives, nor it is the focus of their work.
AI and the Future of Design: What will the designer of 2025 look like? - Artefact
For anyone doubting that AI is here, the New York Times recently reported that Carnegie Mellon University plans to create a research center that focuses on the ethics of artificial intelligence. Harvard Business Review started laying the foundation for what it means for management, and CNBC started analyzing promising AI stocks.