AI CONCEPT DEVELOPMENT

From Insights Movinon

One line description: AI CONCEPT DEVELOPMENT

Description: How to spot actionable, impactful, and feasible opportunities to apply AI to mobility?

  • Know what a good AI problem definition looks like.
  • Understand why it is especially important - and hard - to create well-defined AI concepts.
  • Build a toolkit to identify systemic implications of solving mobility problems with AI.

Image:

Lukas-652691-unsplash.jpg

Organization: ELEMENT AI

Participants:

Category: INNOVATIVE TECHNOLOGIES

Theme: IA & data

Leader: HUDSON Simon, GAGNE Jean-françois

Facilitator: MALZ Jessica

Expert: ZUROFF Richard

Action:

Email or forum discussion :

Chat discussion canal :

Next Step :


FROM THE MINUTES 2018

TWO AI CAVEATS FROM AN AI EXPERT

1. Just because something can be done with AI doesn't mean it’s valuable to business — AI should not become “a hammer in search of a nail.”

2. We need to make sure we don’t bring present social and cognitive biases — which are included in the data we have today — into the new technology.


TAILORED (URBAN AND RURAL) SOLUTIONS

Movin’On participants explored data-powered AI ideas to enhance mobility in 2025. They highlighted many concerns: data collection, AI’s role in citizens’ daily lives, traffic jams, segmentation of public transit needs in dense urban areas with complex infrastructures as well as in large territories in rural areas.

If you ask Stephane Morel from Akeo Plus to imagine himself commuting to work in the best way possible in 2025, you’ll get an unexpected answer, to say the least. He would not leave his house, as a telepresencial robot provided by his company would allow him to work remotely.

Another participant’s ideal way to commute in 2025 would be on a fully equipped bicycle with an integrated GPS system and solar panel.