D-RISK | Training and re-training autonomous vehicles

For our first in-person experience for public audiences since Covid-19 restrictions came into effect in March 2020, we are bringing in the team from D-RISK to Inspace to share the importance of how we humans have a part in contributing to how machines learn.

Event details

Join us at Inspace for an interactive experience in our gallery guided by the D-RISK team.*

Thursday, 11th and Friday, 12th November 2021
10am – 3pm GMT
Inspace Gallery, 1 Chrichton Street, Edinburgh



* For your safety and that of those around you, you will be required to wear a mask in Inspace. When you enter Inspace at 1 Chrichton Street, you will be required to check-in using a short form (name and email address only), details from which we will hold for two week from your visit. We will be in contact with you should we be alerted of any Covid-19 related infections that occur around your visit.

Project D-RISK is making self-driving cars by creating the ultimate driving test for autonomous vehicles.

Join us at Inspace to:

  1. learn more about the project,
  2. why its work matters
  3. to tell the D-RISK team your experiences as a driver, passenger, cyclist or pedestrian; from the sublime to the ridiculous, D-RISK wants to hear your experiences

Self-driving cars need to be prepared for the complex reality of our roads and the D-RISK project is focused on identifying what they call “edge cases”, those one-in-a-million high-risk situations for which self-driving cars will need to be prepared.  Whether it’s a family of ducks crossing the road or a group of people crossing the road in fancy dress, as humans we know what to do in this scenarios, even if they don’t happen very often.  But most self-driving vehicles won’t know what to do in these situations, unless they’ve been trained for them.

That’s why the D-RISK project exists, to build the world’s largest library of edge cases that can be used to train and even re-train these vehicles so they can safely operate on our roads.  D-RISK uses real-life data from traffic accidents and accident reports but most importantly they collect stories from the public.  This is your chance to contribute to a very important project. D-RISK wants to hear your stories!