Session
We Promised Natural Computing. Then We Gave Everyone a Textbox.
AI is often sold as the great democratiser of knowledge. Everyone gets access. Everyone becomes more productive. Everyone can finally talk to the machine.
Small problem: we then ask those same people to type carefully crafted prompts into a textbox and hope the machine understands what they meant.
For decades, we tried to make computing more natural. Microsoft Surface made information physical and social. Kinect removed the keyboard and mouse. HoloLens placed digital information directly into the real world. Different technologies, same dream: what if people could use computers without first having to become computer people?
Now AI finally gives us the missing intelligence layer. It can understand language, images, documents, data, context, intent, and all the messy human stuff in between.
So naturally, we put it in a chat window.
This session explores what comes after the textbox. We will look at what today’s AI wave can learn from earlier natural user interfaces, and how voice, vision, gesture, context, and action can make AI useful for real people in real situations.
Because AI will only be democratic when people no longer have to speak fluent computer to be understood by one.
Drawing on my experience as a Microsoft MVP across Microsoft Surface, Kinect for Windows, and HoloLens, this talk connects the early promise of natural user interfaces with the next wave of multimodal AI.
This is a human-centred AI session about what comes after 'just add a chatbot.'
The talk connects the history of natural user interfaces, including Microsoft Surface, Kinect, and HoloLens, to the current AI wave. It argues that AI will not truly democratize access to knowledge while we keep hiding it behind textboxes, dashboards, and prompt fields designed for people who already know how to talk to machines.
Rather than focusing on prompt engineering or model capabilities, this session focuses on the interaction layer: how voice, vision, gesture, context, and action can make AI useful in real human situations.
The session is opinionated, practical, accessible, and deliberately allergic to the idea that every product becomes intelligent by gluing a chatbot to the side of it and calling it innovation.
Dennis Vroegop
Building AI that actually ships, and the people who build it. Mostly harmless
Melbourne, Australia
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