One true beauty of design system is automation: How much a standard (along with principles and non-coded best practices) can be automatically applied throughout the design and development cycle; How much can such a system help construct product/service. Collecting cliches is not enough to construct a good story. Likewise, collecting reusable libraries is not enough…
Tag: AI
Weekly Learning: The Future Issue
Synthetic Realities Deepfake and blockchain are twins. But unlike blockchain, deepfake is not something new. Synthetic realities have been existed for a very, very long time. Andy Polaine’s iconic post, Design in the age of synthetic realities tells fascinating stories of how “AI-generated and mixed realities are blurring the boundaries of “truth” and challenging how…
Weekly Learning: Race, Designer, Accessibility, and AI
Race Race is quite a topic, but you can’t really talk about diversity or inclusion without talking about racism, can you? Maybe the best entry book to know more about racism is White Fragility or How to Be an Antiracist, while the article How to See Race provides some critical insights in the way we…
Recognizing the People Problem in AI and Big Data (The Designerly Leap Trilogy Part II)
Previously: The Designerly Leap Trilogy Part I Three Pillars in AI and Big Data Algorithm, modelling, and data are the three foundations behind AI, big data, and analytics in general. We create a model, write algorithms to describe the internal mechanisms of the model, and then use data to train and evolve the model for it…
Designerly Thought of the Day #20180809
Although a bit hyped, design systems signals the dawn of automation in design. As principles, best practices, patterns, and libraries stabilize and evolve (far more often than revolutionizing), tactical and functional design tasks will by operated by AI machines (only curated by humans) and become highly automated. Design as a human profession naturally shifts to…
Does Analytics Generate Insights?
The tricky thing about analytics is that, it doesn’t really generate insights, and insights are largely irrelevant to the goal of analytics. Insight is a human diet, cooked with human judgement. The goal of analytics is to support decision making. If the analytics doesn’t support decision making, then it doesn’t have to be. When the…
