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ITU Workshop on Explainable AI (XAI) for Autonomous and Assisted Driving

​​​​​​​​​​​​​London, United Kingdom, 21 January 2020 

Contact: tsbevents@itu.int

Introduction

To kick off the 1st meeting of the ITU-T Focus Group on AI for autonomous and assisted driving (FG-AI4AD), the International Telecommunication Union (ITU) organized a workshop, which explored the crucial role of AI in providing safe modes of transport through autonomous and assisted driving. The workshop took place on 21 January 2020, in London, United Kingdom and was followed on 22 January by the FG-AI4AD meeting.

With the integration of information and communication technologies (ICTs) into mainstream transportation systems, autonomous driving and assisted driving are increasingly becoming the focus of the global automotive industry. 

How can Explainable AI (XAI) help build public trust in the performance of these systems? What levels of XAI are required to ensure that AI systems continually perform at the level of a competent and careful human driver and never engages in reckless, dangerous or careless driving?

As more than 90% of road accidents are caused by human error, the adoption of autonomous driving technologies has the potential to dramatically improve road safely, in accordance with the UN sustainable development goals (e.g. SDG 3.6 and SDG 11.2).

Objective​
A multi-stakeholder approach is considered instrumental when embarking on the journey for autonomous driving. The workshop was an opportunity to learn from research and experimental outcomes from various sources to provide a foundation for the future work of the focus group, scheduled to start officially on the next day​.​

Target Audience
Participation in the workshop was open to ITU Member States, Sector Members, Associates and Academic Institutions and to any individual from an ITU member country. This included individuals who are members of international, regional and national organizations.

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