
About us
Welcome to AI Australia, where we explore the intersection of artificial intelligence and society. Our group is dedicated to fostering discussions and collaborations around how AI impacts various aspects of our lives, from ethics and policy to education and healthcare. Whether you're a researcher, developer, entrepreneur, or simply curious about the future of AI, join us for insightful talks, workshops, and networking opportunities. Let's work together to navigate the evolving landscape of AI in Australia and beyond. Let's build a better future through AI and Society.
Upcoming events
4

Responsible AI Beyond the Buzzwords
·OnlineOnlineTurning AI Principles into Practical Business Decisions -
Event Confirmation Form!
➡️ We kindly request that all attendees complete the event confirmation form to confirm your attendance:
https://meet.zoho.com.au/tppo-stq-kyb***
## What’s On?
Speaker: Sandeep Bhalekar, Founder – Global Institute of Artificial Intelligence
Title: Responsible AI Beyond the Buzzwords: Turning AI Principles into Practical Business Decisions
Abstract: Responsible AI is often discussed through principles such as fairness, transparency, accountability, privacy and human oversight. The real challenge for organisations is turning these principles into practical decisions, processes and controls.
This session moves beyond Responsible AI theory to explore what responsible AI adoption actually looks like when organisations are designing, deploying and operating AI systems.
Participants will explore practical approaches for identifying AI risks, establishing accountability, addressing bias, implementing human oversight and building trust into the AI lifecycle.## What You’ll Learn
✅ Responsible AI in Practice — Move beyond principles and understand what Responsible AI means operationally.
✅ Fairness & Bias — Identify where bias can emerge and how organisations can manage it.
✅ Transparency & Explainability — Understand when and how AI decisions should be explainable.
✅ Human Oversight — Determine where human review, intervention and approval should remain part of AI-enabled decisions.
✅ Privacy & Data Responsibility — Understand responsible handling of data throughout the AI lifecycle.
✅ Accountability & Ownership — Establish who is responsible for AI systems, decisions and outcomes.
✅ From Principles to Controls — Translate Responsible AI principles into practical governance processes and organisational controls.## Who This Is For
C-suite and executive leaders, CIOs, CTOs, CDOs, Chief AI Officers, AI governance professionals, Responsible AI practitioners, risk and compliance teams, technology leaders, consultants and professionals involved in building, deploying or governing AI systems.
No specialist Responsible AI background is required.## Format
90-minute live session combining practical Responsible AI scenarios, organisational examples and actionable approaches, followed by an open Q&A.
The session is built around one important question:Responsible AI sounds good in principle — but what does it actually look like in practice?
Please complete the confirmation form above to confirm your attendance.
23 attendees
HUMAN-IN-LOOP ISN’T ENOUGH | Turn Principles into Controls You Can Actually Use
·OnlineOnlineEvent Confirmation Form!
➡️ We kindly request that all attendees complete the event confirmation form to confirm your attendance:
https://meet.zoho.com.au/pxmi-wxn-ovz***
## What’s On?
Speaker: Sandeep Bhalekar, Founder – Global Institute of Artificial Intelligence
Title: Human-in-Loop Isn’t Enough: Turn Principles into Controls You Can Actually Use
Abstract: Adding a human approval step to an AI workflow does not automatically make the system responsible, safe or well-governed.
Effective human oversight requires organisations to clearly define who has authority, when intervention is required, what decisions can be overridden, how exceptions are escalated, and how actions are recorded and reviewed.
This session explores how organisations can move beyond the simple “human-in-the-loop” concept and build practical controls that provide meaningful oversight throughout the AI lifecycle. NIST’s AI Risk Management Framework similarly emphasises clearly defined roles and documented processes for human-AI configurations and oversight.## What You’ll Learn
✅ Why Human-in-the-Loop Isn’t Enough — Understand why simply adding human approval may not provide meaningful oversight.
✅ Meaningful Human Oversight — Explore when humans should monitor, intervene, approve, override or stop an AI-driven process.
✅ Automation Bias — Understand the risk of people becoming overly dependent on AI recommendations.
✅ Risk-Based Controls — Determine the appropriate level of human control based on the impact and risk of an AI decision.
✅ Approval & Escalation Points — Define which AI actions can proceed automatically and which should require human authorisation.
✅ From Principles to Controls — Turn Responsible AI principles into practical workflows, controls and governance mechanisms.
✅ Accountability & Auditability — Establish clear ownership and maintain evidence of AI decisions, human interventions and approvals.
Human oversight is also becoming an increasingly structured area of AI governance: ISO/IEC 42105, currently in final-draft stage, specifically addresses human control and monitoring of AI systems throughout their lifecycle.## Who This Is For
C-suite and executive leaders, CIOs, CTOs, CDOs, Chief AI Officers, AI governance professionals, Responsible AI practitioners, risk and compliance teams, technology leaders, AI architects, consultants and professionals involved in building, deploying or governing AI systems.
## Format
90-minute live expert session featuring practical scenarios, human-oversight models, control mechanisms and real-world AI governance considerations, followed by an open Q&A.
The session is built around one critical question:Having a human in the loop sounds responsible — but is that human actually in control?
Please complete the confirmation form above to confirm your attendance.
13 attendees
Is Your Child Ready for the AI Future?
·OnlineOnline🎟️ FREE LIVE WEBINAR | EXCLUSIVE PARENT AWARENESS SESSION
REGISTER NOW TO SECURE YOUR PLACE
👉 https://meet.zoho.com.au/wjnr-csr-nar
Please note: Your Meetup RSVP does not automatically register you for the webinar. Complete the free registration above to receive your joining details.***
# IS YOUR CHILD READY FOR THE AI FUTURE?
How Parents Can Help Children Learn, Create & Think Responsibly with AI
Your child is growing up with AI. Are they learning how to use it wisely?
Artificial Intelligence is already transforming how children learn, think, create and interact with the world.
But knowing how to ask ChatGPT a question is not the same as understanding AI.
The real opportunity is helping children become confident thinkers, creative problem-solvers and responsible innovators, not simply consumers of AI-generated answers.
Join GIofAI Kids – Future AI Innovators Academy for an exclusive online parent awareness session designed to explore what meaningful AI education looks like for the next generation.### ✨ WHAT YOU'LL DISCOVER
🎓 Why AI Literacy Matters
Understand why children need AI knowledge, critical thinking and digital confidence in an AI-powered world.💡 Beyond ChatGPT: From Using AI to Building With It
Explore how children can create meaningful projects, solve real problems and develop their own ideas using AI.🛡️ Keeping Children Safe in the AI World
Learn practical approaches to privacy, misinformation, deepfakes and responsible AI use.🚀 Preparing Young Minds for Tomorrow
Discover how practical AI education can support creativity, innovation, collaboration and problem-solving.🌟 Inside GIofAI Future AI Innovators Academy
Get an introduction to our upcoming 10-day live online AI programme, beginning 4 January 2027, and learn what students can create and achieve.💬 Live Parent Q&A
Ask your questions about AI learning, age suitability, safety and how to get started.### 👨👩👧👦 WHO SHOULD ATTEND?
This webinar is designed for:
- Parents of children aged 8–17
- Families exploring future-ready education
- Teachers, educators and school leaders
- Parents concerned about children's safe use of AI
- Anyone interested in helping young minds thrive in an AI-driven world
No technical knowledge or prior AI experience is required.
### 📅 EVENT DETAILS
📆 Thursday, 29 October 2026
🕖 7:00 PM AEDT | Sydney/Melbourne
💻 Live Online | Free Registration
🎓 Hosted by: Global Institute of Artificial Intelligence (GIofAI)### 🌍 ABOUT GIofAI KIDS
The GIofAI Future AI Innovators Academy helps young learners move beyond passive technology use through practical AI experiences, project-based learning, critical thinking and responsible innovation.
Our upcoming online programme runs from 4–15 January 2027, helping children understand AI, create meaningful projects and develop confidence using emerging technology responsibly.More than learning to use AI. Learning to build with it, question it and use it responsibly.
Explore: https://kids.giofai.com.au***
### 🎟️ READY TO JOIN US?
Give your child a stronger foundation for the AI future.
Reserve your free webinar place today:
👉 https://meet.zoho.com.au/wjnr-csr-nar
We look forward to welcoming you to this special GIofAI Kids session.3 attendees
Can You Break This AI? AI Red Teaming, Testing & Risk in Practice
·OnlineOnlineEvent Confirmation Form!
➡️ We kindly request that all attendees complete the event confirmation form to confirm your attendance:
https://meet.zoho.com.au/hbcq-ufc-btv***
## What’s On?
Speaker: Sandeep Bhalekar, Founder – Global Institute of Artificial Intelligence
Title: Can You Break This AI? – AI Red Teaming, Testing & Risk in Practice
Abstract: As organisations deploy increasingly capable AI systems and AI agents, asking “Does the AI work?” is no longer enough.
The real questions are: How can it fail? Can it be manipulated? What happens under unexpected or adversarial conditions? And can we discover those weaknesses before they create business risk?
This practical session introduces AI red teaming, testing and evaluation, exploring how organisations can deliberately challenge AI systems to uncover vulnerabilities, unexpected behaviours and failure modes before and after deployment. NIST defines AI red teaming as structured testing designed to identify flaws and vulnerabilities in AI systems, including undesirable behaviours and misuse risks.## What You’ll Learn
✅ AI Red Teaming Explained — Understand what red teaming is and why organisations deliberately challenge their AI systems.
✅ Finding AI Failure Modes — Explore hallucinations, unsafe outputs, bias, unexpected behaviours and control failures.
✅ Prompt Injection & Agent Hijacking — Understand how malicious instructions can manipulate AI applications and agents. NIST's 2026 agent-security work specifically highlights indirect prompt injection and agent hijacking as risks for agents processing external data.
✅ Testing AI Agents — Explore the additional risks when AI can access data, call tools and take actions.
✅ Risk-Based AI Testing — Learn how testing can be prioritised around system purpose, business impact and potential harm.
✅ From Testing to Governance — Turn discovered weaknesses into guardrails, controls, monitoring and continuous improvement.
✅ Pre-Deployment + Continuous Testing — Understand why testing before launch alone is insufficient and why deployed AI also needs monitoring.## Who This Is For
AI leaders, CIOs, CTOs, AI engineers, developers, cybersecurity professionals, Responsible AI practitioners, risk and compliance teams, AI governance professionals, consultants and anyone involved in building, testing, deploying or governing AI systems.
No specialist red-team experience is required.## Format
90-minute practical live session featuring AI failure scenarios, red-team thinking, testing approaches and real-world examples, followed by an open Q&A.
The session is built around one simple challenge:Before your customers, employees or attackers
find the weakness in your AI — can you find it first?Please complete the confirmation form above to confirm your attendance.
16 attendees
Past events
121

