International Workshop on Autonomous, Connected, and Smart Transportation

UNSW AI Institute is the flagship artificial intelligence (AI) research institute of the University of New South Wales (World’s Top 20 Universities in QS2024) It supports the activities of over 350 UNSW academics and over 50 research groups, labs and centres, working in AI, data science, and machine learning or applying them in their respective domains. Its researchers’ extensive track record in AI research and development capabilities across several faculties, including Engineering, Science, Business, Law, Medicine, Arts, Design & Architecture and UNSW Canberra, is well recognised globally. It has extensive expertise and capabilities in the development, application and translation of AI. The institute has several goals, including fostering interdisciplinary connections for both teaching and research, participation in public dialogue on AI, and driving the commercialisation of research.Please connect with us on social media for the latest updates.Website:             unsw.aiLinkedIn:             linkedin.com/company/unsw-ai-instituteTwitter:               @unsw_aiYoutube:             http://unsw.to/youtube_aiE﻿mail:                    ai@unsw.edu.au

UNSW AI Institute

Two-Day The Long Road Ahead International Workshop at Canberra, invited by UNSW Canberra AI Hub, UNSW.ai and Trusted Autonomy group.

BLD 36 SR 06, UNSW Canberra

Self-driving vehicles will bring capillary and irreversible transformations into the worlds of transportation, logistics and urban design. However, it is now clear that the development of this AI-based technology constitutes a long- term, complex challenge: despite some impressive technological achievements and the boastful announcements often made by makers and entrepreneurs, autonomous vehicles are not roaming our roads yet and it is still unclear when they will eventually be mature enough to operate in ‘full’ or ‘semi’ autonomous mode. What is still needed to make this innovation real? What are the obstacles faced by developers and makers, and do the underlying problems have a communal root? We will tackle these questions with the help of authoritative experts from academia, private sector, and public administration. The workshop aims to identify and investigate with an integrative and interdisciplinary approach the fundamental challenges faced by the sector.<h3>Scope and thematic sessions</h3>The program includes keynotes, roundtable discussions, and presentations with experts of: machine learning, computer vision, data; logistics and transportation science; human factors &amp; ergonomics; cognitive science and human performance; public policy and regulation of emerging technologies; ethics, philosophy, and sociology of AI. The workshop will feature thematic sessions dedicated to: (I) technological and implementational problems (developing instruments and solutions); (II) foundational and methodological problems (conceiving appropriate frameworks, standards, and models); (III) ethico-legal and normative problems (what individual and societies want, what regulatory authorities should do).<h3>Invited speakers</h3>Mehul Bhatt (Örebro University) Vinayak Dixit (UNSW rCITY) Xingshuai Dong (UNSW)Mike Lenne (Seeing Machines) Eduardo Nebot (University of Sydney)Flora Salim (UNSW)Eduardo Benitez Sandoval (UNSW)Alexandra Zafiroglu (Australian National University) Dongmo Zhang (Western Sydney University)

Image Caption: automated transport planning, according to MidJourney AIImage Credit: Max Cappuccio and MidJourney<h3>Call for abstracts (deadline 10 May 2023, for information and submission m.cappuccio@unsw.edu.au ) Suitable abstracts (300-500 word for 20 min presentations) include, but are not limited to, the following topics: - Sensors, machine vision, and scene understanding.</h3>- Limited and biased data.- Real-time traffic negotiation and coordination among vehicles.- Smart infrastructures and systems interoperability.- Ethical decision and value alignment- Sensitive design and societal acceptance- Knowledge representation and the frame problem.- Interpreting and producing human-like behaviours.- Trust marks and safety assessment.- Transitioning from full-autonomy to meaningful human control.- Risk perception and public policy.The LORA research series is convened by: Max Cappuccio (SEIT, coordinator), Stephen Coleman (HASS), Essam Debie (SEIT), Helen Dickinson (School of Business), Vinayax Dixit (rCITI), Milad Ghasrikhouzani (SEIT), Oleksandra Molloy (SEIT), Maurice Pagnucco (UNSW Kensington), Michael Regan (rCITI), Eduardo Benitez Sandoval (UNSW Paddington).

P﻿lease contact ai.admin@unsw.edu.au for any inquires regarding this event.F﻿or upcoming events and check out our past events, please visit the link below:https://www.unsw.edu.au/unsw-ai/news-events/eventsPlease connect with us on social media for the latest updates.Website: unsw.aiLinkedIn: linkedin.com/company/unsw-ai-instituteTwitter: @unsw_aiYoutube: http://unsw.to/youtube_ai

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