• 1 Sep, 2021 - 1 Sep, 2022
  • 16:00
  • Online
Watch on Vimeo
Download the transcript
Social share

Ep 1. Autonomous Vehicles

Consider the subtleties of driving that we take for granted…

How long do human driver’s wait at a zebra crossing before we realise the pedestrian isn’t crossing? How do we translate that interaction into an autonomous vehicle’s decision-making process?

This episode delves into the complexities of bringing autonomous vehicles safely into society and asks many poignant questions, including:

  • – Are we ready for autonomous vehicles?
  • – What does the utopian world of autonomous vehicles look like?
  • – How does the law keep up with the changing technology?
  • – What are the ethical implications of autonomous vehicles?
  • – How do we translate everyday assumptions that human drivers make into autonomous vehicles?

Look at the gallery below to see more autonomous vehicles content from the Hub.

Watch on Vimeo
Download the transcript
Social share
The Panel

Featuring TAS Experts in Autonomous Vehicles

Sarah Sharples
Professor Sarah Sharples
Chief Scientific Adviser, Department of Transport

Professor Sharples is the Equality, Diversity and Inclusion Director for the UKRI TAS Hub, as well as Chief Scientific Adviser for the Department for Transport. She is a Professor of Human Factors at the University of Nottingham and from 2018 to 2021 was Pro-Vice-Chancellor for Equality, Diversity and Inclusion and People.

Siddartha Khastgir
Head of Verification & Validation, Intelligent Vehicles, University of Warwick

Siddartha Khastgir is the Head of Verification & Validation (V&V) of Connected and Autonomous Vehicles (CAVs) at WMG, University of Warwick. He is the technical lead for WMG on various collaborative research and development projects.

Dr Jo-Ann Pattinson
Post-doctoral Research Fellow

Dr Pattinson is a Postdoctoral Research Fellow at the Institute for Transport Studies. She is interested in the impact law and technology has upon people and society, and how qualitative research may be used to identify and address issues arising from the evolving area of autonomous vehicles and the internet of things.

Mohammad Reza Mousavi
Professor Mohammad Reza Mousavi
Verifiability Node Principal Investigator

Professor Mousavi is a professor of Software Engineering at King’s College London and the Principal Investigator in the Verifiability Node in the UKRI TAS Programme.

Dr Jack Stilgoe

Dr Stilgoe is a Senior Lecturer in the Dept of Science & Technology Studies, University College London

Other autonomous vehicles content

Podcast: Exploring trust and driverless cars

Exploring trust and driverless cars

How do we stop entertainment apps from interfering with mission-critical controls in a driverless car?

This and more in ep. 6 of the Living with AI podcast ‘Exploring Trust in Driverless Cars’ featuring Mohammad Mousavi, Professor of Software Engineering, King’s College London.

Listen:  bit.ly/TAS-driverless

The future of connected and automated mobility in the UK: call for evidence
July 2021 – Read the TAS Programme’s response to this call
Chatty Car - research project

This current TAS Programme research project looks at designing an exemplar, socially responsible, anthropomorphised, natural language interface for automated vehicles.

Tell me more about the project

Podcast: Would you trust a driverless car?

How do we translate the highway code to a driverless car?

This episode’s guest expert

Prof. Subramanian Ramamoorthy, University of Edinburgh and TAS Governance and Regulation Node PI

Listen to this episode

Inclusive Autonomous Vehicles - research project

This TAS Programme research project investigates the role of human risks, perception and trust narratives. Uncovering the mechanisms that can address consumers’ concerns when relinquishing human control to autonomous vehicles.

Tell me more about the project

SA2VE - research project

Situational Awareness and trust during shift between autonomy levels in automated VEhicles

Understanding the effect of Situational Awareness and take-over request procedures on trust between drivers and highly autonomous vehicles.

Tell me more about the project

RoAD - research project

RoAD: responsible av data ethical, legal, and societal challenges of using data from AVs

This research project investigates the ethical risks and legal implications related to the collection, access and use of data in autonomous vehicles. Testing the usefulness of datasets and evaluating public acceptance of data recorders.

Tell me more about the project