Next Generation Responsible AI Symposium

An Early- and Mid-Career Researcher refers to a researcher who is less than 15 years post PhD, excluding career disruption or barrier.

A career disruption or barrier is an interruption that has caused prolonged impact on a researcher’s capacity to conduct high-level research in the period since the conferral of their first PhD. It may be due to reduced opportunities for research which may be due to one or more of the following: prolonged absences due to unemployment, childbirth, carers’ responsibilities, limited or no access to facilities and resources, disaster management and recovery, medical conditions, disability, or accessibility needs, community obligations, including Aboriginal and/or Torres Strait Islander cultural practices and protocols.

Registration costs $150 and opens September 1. Registration includes:

• 2 days of science presentations and workshops
• 2 days of morning tea and lunch + 1 afternoon tea
• 2 networking activities with light refreshments
• The opportunity to be a part of the post-symposium yearlong initiative

CSIRO Privacy Notice – For Research Symposium 

Your personal information is protected by the Privacy Act 1988 (Cth) (Privacy Act). CSIRO will handle your information in accordance with this Act or as otherwise required by law.  

The personal information about you which we are collecting in these application and registration forms is being collected for the purposes of facilitating your potential attendance at the proposed Next Generation Responsible AI Symposium. We will only use the personal information that we collect about you for other related purposes where we are permitted to by the Privacy Act.  

CSIRO may incidentally collect your sensitive information (e.g. your health information may be inferred from whether you need a carer, or any dietary requirements you inform us of). We are only asking for this information where we consider it reasonably necessary to facilitate your participation. You do not need to provide this information. If you do provide it, it will be taken that you consent to CSIRO’s collection of it. If you do not provide it, we may not be able to adequately cater to your needs.   

CSIRO may disclose your personal information to third parties including the Australian Institute for Machine Learning (AIML), which is partnering with CSIRO for this event. We do not intend to disclose your personal information to any other third parties or publish that information, and we will only do so with your consent or where we are otherwise authorised or required by law to do so. AIML is an institute attached to the University of Adelaide and, accordingly, is also bound by the Privacy Act.  

CSIRO does not intend to disclose your personal information overseas, and any overseas disclosure of your personal information would be accidental and incidental. You should be aware that if your personal information is disclosed overseas, it may not be subject to the requirements and protections of the Australian Privacy Principles.  

If you do not provide any or all of the personal information requested of you, you may be unable to participate. 

You are free to withdraw at any time leading up to the symposium. Unless requested, we will retain any personal information collected prior to your withdrawal from the symposium. If you request that we delete your personal information, we will do so if permitted by and in accordance with any applicable laws (including the Privacy Act and the Archives Act 1983 (Cth)). 

For further information on how CSIRO handles your personal information and our access, correction and complaints process please read our privacy policy available on our website or by contacting us at privacy@csiro.au.  

No, the symposium will be held fully in person.

After careful consideration of the format and goals of the event, we’ve chosen to host the symposium in person to foster deeper engagement, richer networking, and meaningful collaboration.