Designing a Smart Car Virtual Assistant

Imagine a smart car virtual assistant that would help you with directions and finding parking. This is exactly what Jane Motz and Geoffrey Hunter of Tribal Scale designed and prototyped. This post shares Jane and Geoff’s top tips when designing a smart car console: considerations around the cognitive load of the driver, entering and exiting the modality, regional linguistic variations, and how to build off what other’s have already done.

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AI-first and AI-augmented products

This post explores machine learning considerations of two products. The first is Wattpad, an ai-augmented storytelling platform that, on the reader-side makes story recommendations and on the writer side assists with story tagging. And, the second is Dango, an ai-first smartphone emoji-suggester, which required designers to develop algorithm empathy (the algorithm only knows what you tell it) and required Dango's CEO to hand label 30,000 data points because the appropriate data set didn’t exist. This post was co-authored by Satsuko VanAntwerp and Scott Wright.

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Design and AI: Where do we start?

Toronto is poised to become a hot spot for the fast-growing field of AI. While most of the current practitioner level conversation is engineering-centric, we’re interested in the intersection of AI and design. How is AI shaping human experiences? What does the work of designers look like in an AI-first future? This post explores a number of topics, including:

  • What do we mean by the term AI?
  • Our fear of sentient AI taking over stems from our sense of self importance as a species.
  • Designing for AI forces us to self reflect and confront the systemic bias in our societies.
  • We'll adjust to AI; soon it will be NBD.
  • Sometimes transparency doesn’t matter (there is likely bias in the data: racism, sexism, etc.)
  • AI has the potential to help us do our jobs better and do more of what we enjoy most.
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