Ethical AI, Virtual Reality, Social Robots and Data (Virtual)
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Ethical AI, Virtual Reality, Social Robots and Data (Virtual)

By La Trobe School of Humanities and Social Sciences

Perspectives and Provocations from Health, Care, Education, Nursing, and the Humanities & Social Sciences

Date and time

Location

Online

Speakers

Agenda

9:15 AM - 9:20 AM

Welcome to the symposium

Professor Nick Bisley, Pro Vice-Chancellor (Research)

9:20 AM - 9:35 AM

Welcome from the Language and Ethical Technology Lab (LETL) Research Network

Dr Judith Bishop

Dr Lauren Gawne

9:35 AM - 9:40 AM

Speaker introductions

Dr Judith Bishop

9:40 AM - 10:00 AM

Health Data, Personalised Medicine, AI & Ethics: Danish Cross-Tracks Project

Senior Associate Professor Karin Christiansen

A substantial volume of health data is currently being extracted from diverse databases to develop artificial intelligence (AI) algorithms aimed at predicting and preventing disease and premature mor...

10:00 AM - 10:20 AM

No Equity without Inclusion: Multicultural Communities in Medical Research

Associate Professor Josefine Antoniades

Professor Bianca Brijnath

In Australia, over half the population are first- or second-generation migrants, and one in three older adults come from a Culturally and Linguistically Diverse (CALD) background. Yet CALD communitie...

10:20 AM - 10:30 AM

Q&A

10:30 AM - 10:50 AM

Morning Tea Break

10:50 AM - 10:55 AM

Speaker introductions

10:55 AM - 11:15 AM

Virtual Reality, Connection and Questions of Care

Professor Raelene Wilding

What role might Virtual Reality play in enhancing the wellbeing of older adults? A reflection on two VR interventions, one in a residential care facility and one in a retirement village, offer two co...

11:15 AM - 11:35 AM

At the Intersection of Technology and Education: Exploring Robotics, VR and AI

Professor Therese Keane

This presentation examines the convergence of robotics, virtual reality, and artificial intelligence in reshaping contemporary classroom practice. It highlights how these technologies collectively tr...

11:35 AM - 11:45 AM

Q&A

11:45 AM - 11:50 AM

Speaker introductions

11:50 AM - 12:10 PM

AI in Nursing Education

Associate Professor Ken Ho

Artificial intelligence (AI) has been increasingly employed in nursing education. The session provides a summary of using AI in simulation-based nursing education and communication training. Based on...

12:10 PM - 12:30 PM

Out of the Shadows: Data Visibility for Care Visibility

Kate Syme-Lamont

Care data remains largely invisible to researchers and policymakers due to historical marginalisation, systemic inequalities, and technical fragmentation—limiting evidence-based decision-making in a ...

12:30 PM - 12:40 PM

Q&A

12:40 PM - 1:00 PM

Thank you | Your say | Quick audience survey

Good to know

Highlights

  • 3 hours 45 minutes
  • Online

Highlights

  • 3 hours 45 minutes
  • Online

About this event

Science & Tech • High Tech

"AI systems should enable an equitable and democratic society by respecting, protecting and promoting human rights, enabling diversity, respecting human freedom and the autonomy of individuals, and protecting the environment.” – Australia’s AI Ethics Principles

Ethical technology guidelines and frameworks abound. Yet, translating ethical principles into innovative local practice is a growing challenge. How do we ensure that technological systems, including AI, support Indigenous data sovereignty, diversity, human rights, and autonomy in more than name alone?


The Ethical AI, Virtual Reality, Social Robots & Data symposium will respond to this question, addressing some of the key opportunities and ethical challenges of emerging AI, Virtual Reality, Social Robotics and Data systems.

Join senior La Trobe University researchers and international guest researcher Dr Karin Christiansen as we explore the ethical and practical dimensions of emerging technologies and data practices, and launch the Language and Ethical Technology Lab (LETL) research network.


Outline of the program

Speaker topics will include:

• Language and Ethical Technology

• Health Data, Personalised Medicine and AI

• Virtual Reality, Connection and Care

• Technology and Education: Robotics, VR and AI

• AI in Nursing Education

• Multicultural Community Inclusion in Medical Research

• Data Visibility for Care Visibility


A detailed agenda with abstracts will be shared with registered participants closer to the event. In-person participants can join us by registering for the In-Person event.


Participants are also invited to register for the afternoon mini-symposium on Ethical AI, Creativity and Language (In-Person only). Please be aware that this event is separately ticketed and in-person only.

We look forward to seeing you online for a morning of thought-provoking talks and conversations.


Frequently asked questions

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La Trobe School of Humanities and Social Sciences

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Free
Oct 9 · 3:15 PM PDT