Shifting from Machine Logic to Intelligent Interfaces

While machine learning introduces new approaches to software, AI’s more transformative impact will be in the way we interface with each other, businesses, and the world around us.

The most profound advancements in technology are often less about technology and more about new interfaces replacing old ones. The car offered an entirely new interface to mobility than a horse or a bike; the telephone did the same for communications; databases replaced filing cabinets; the internet and, later, mobile devices have drastically altered (if not replaced) print media.

Artificial intelligence (AI) is ushering in a broader shift than merely faster logic and data processing; it is enabling altogether new user interfaces and experiences. While AI takes myriad form factors, virtually every application can be rolled into one of three buckets: machine capabilities involving vision, language, or analysis.

Consider the following interfaces that are powered by various AI technologies:

  • Voice recognition
  • Facial recognition
  • Emotion recognition
  • Hand recognition
  • Gesture recognition
  • Iris or retina recognition
  • Gaze-tracking
  • Gait (walking) recognition
  • Social robots
  • In-store robots or avatars
  • Autonomous vehicles
  • Drones
  • Hearables (with conversation-based agents)
  • Virtual agents
  • Augmented reality and mixed reality
  • Virtual reality
  • Computer vision and three-dimensional (3D) modeling
  • Virtual assistants
  • Tactile, texture, impact, grip recognition
  • Language translation services

Continue reading this post where it was originally published on InfoWorld, where we discuss how AI is transforming the very definition of what can be digitized, as well as what it means when interfaces themselves disappear completely.

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