Mind the Gaps: Trustworthy AI for Autonomous Vehicles
Thursday, 30 June 2022
14:00 - 15:30 CET (8:00 - 9:30 AM ET)
L4 Autonomous Vehicles:
Is AI a Trusted Technology for Autonomous Driving? What About Legal and Ethical Implications? Where Do We Stand? What is Missing?
Cars with L3 features like an Automated Lane Keeping System (ALKS) have already been announced by leading OEMs to be commercially available in 2022. The next step will be L4 automated vehicles, which will be equipped with an autopilot to drive safely without human intervention in a so-called operational design domain (e.g. highways).
A highly automated car has to perform complex driving tasks in an ever-changing multi-faceted environment. Various AI techniques are used to master the complexity by interpreting sensor data or by making decisions in ambiguous situations. Algorithmic decision making and autonomous actions without human intervention imply a wide range of open technical, ethical and legal challenges that need to be overcome in order to make autonomous cars on public roads a reality.
This webinar will provide the latest information on the status of AI technology and related gaps for autonomous vehicles. Leading experts from the US, Asia and Europe will shed some light on following issues:
Why Join
Key industry leaders from Europe, the United States, and Asia will share their views and be available for Q&A. Attendees will have opportunities to interact with speakers and comment on tech, business, and regulatory challenges. Researchers are encouraged to share latest research results and innovators are encouraged to come up with disruptive concepts.
Who Should Participate?
● Vehicle manufacturers and automotive suppliers
● Autonomous vehicle developers
● Software and internet companies
● Semiconductor firms
● Telecom operators
● Road operators
● Mobility service providers
● Transportation infrastructure stakeholders
● Industry alliances
● Academics
SPEAKERS
Riccardo Mariani
VP of Industry Safety, NVIDIA
Joan Mas-Albaigès
Director, Digital Technologies Division at EURECAT, Technology Centre of Catalonia
Daniela Rittmeier
Head of AI Automotive, Capgemini
IEEE SA
Training & Development
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