**Building with AI is getting easier. Knowing whether it works reliably is a different challenge.**
How do you test an AI application when the same prompt can produce different answers? How do you evaluate accuracy, spot hallucinations and check whether an AI agent is doing what it should?
Join **AI Learners Club** and **Paul Maxwell-Walters, QA Engineer and Consultant**, for a practical webinar exploring **generative AI testing, LLM evaluation and quality assurance for AI applications and agents**.
Using real-world examples and a live demonstration, Paul will explain what makes testing AI different from traditional software testing and how teams can approach it.

**What we’ll cover**

* **Generative AI testing:** The challenges of testing large language models (LLMs) and software built around them.
* **AI reliability:** Assessing hallucinations, bias, inappropriate responses and inconsistent outputs.
* **Practical testing techniques:** Using constrained responses and structured outputs to make automated testing easier.
* **LLM evaluations and benchmarks:** Understanding human evaluation, rule-based checks and LLM-as-a-judge approaches.
* **Testing AI agents:** Why multi-step workflows, tool use and changing outcomes need a different evaluation approach.
* **Guardrails and monitoring:** How safeguards, logs and traces support AI quality.
* **Real-world examples and a live demo**, followed by Q&A.

**Who should attend?**
Software testers, QA engineers, developers, AI builders, product managers and anyone moving from an AI prototype towards a more reliable application.
Some familiarity with generative AI will help you get more from the session.

**About the speaker**
Paul Maxwell-Walters is a QA Engineer and Consultant with experience at DroneShield, Practera and The Yield. He co-runs Sydney Testers and brings practical experience testing AI-powered software, including AI-generated feedback and assessment systems.
Bring your questions, meet fellow AI learners and discover practical ways to evaluate what you build.
**RSVP to join us online!**

**Hosted by**
Paul Walters
https://www.linkedin.com/in/paulwaltersuk/

AI Learners Club

Dev Roy

Paul Maxwell-Walters

Schnellstart.ai

Nick Qi

mervin mathew

Shreyas Joshi

Eranga Jayalatharachchi

Alistair Rigney

mykeyoz

Amir

Aries

Joey Yang

John

Rabindra Neupane

Poontamilselvan

Julian Rothery McWilliam

Harry Chen

Daniel Fabian

madzia.kam

The Unspoken Challenge: Testing Gen AI & the Software That Uses It | AI Webinar

Online event

**AI Learners Club and Altamir invite you to Novotel Darling Harbour!**

Join us for an afternoon of networking, connection, and conversation at one of Sydney's most iconic locations.

Whether you're an AI enthusiast, entrepreneur, business professional, creator, student, or simply curious about the future of artificial intelligence, this is an opportunity to meet like-minded people and expand your network.

The event is designed to bring together people from different backgrounds who are interested in learning about AI, discovering new opportunities, sharing ideas, and building meaningful connections.

🤝 **Meet new people**
💡 **Share ideas and insights**
🤖 **Connect with the AI community**
🚀 **Discover new opportunities**
📖 **Learn something new**
🌐 **Build your professional network**

Come along and bring your friends, introduce yourself, meet new people, and be part of a growing community exploring the future of AI.

Whether you're completely new to AI or already working with the latest tools, everyone is welcome.
**Learn. Connect. Build the Future.**

**Follow us on LinkedIN:**
AI Learners Club
[https://www.linkedin.com/company/ailearnersclub](https://www.linkedin.com/company/ailearnersclub/)/

Next Genius Tech Venture
https://www.linkedin.com/company/nextgen14/

**Hosted by**

**Dev Roy (COO of Next genius & President of AI Learners Club)**
https://www.linkedin.com/in/devjeetroy/

**Nicholas Qi (CEO of Next Genius & Founder of AILC)**
https://www.linkedin.com/in/nicholas-qi/

**Join our Skool Platform for free courses** (link on our website)
https://ailearnersclub.com/

Tommy

rajath.shanbhag

JULIAN

AI & Tech Community Monthly Meet up

Novotel Darling Harbour

**AI Governance in Australia: Are You Ready for the December 2026 Changes?**

From 10 December 2026, new automated decision-making (ADM) transparency requirements under Australia's privacy legislation will take effect, introducing additional privacy policy disclosure obligations for organisations where the statutory conditions apply.

As businesses increasingly adopt artificial intelligence, AI-powered recruitment tools, automated workflows and algorithmic decision-making systems, understanding how these technologies influence decisions about individuals is becoming increasingly important.

But how can organisations move beyond AI governance policies and build practical, accountable processes?

Join AI Learners Club for a practical webinar presented by Max Zhang, exploring AI governance, automated decision-making transparency, responsible AI adoption and governance principles informed by ISO/IEC 42001.

This session moves beyond theory to demonstrate how business analysis and structured governance processes can help organisations identify automated decisions, assess their implications, assign responsibilities and maintain reliable documentation.

**WHAT YOU'LL LEARN**
During this webinar, we'll explore:

1. Australia's December 2026 Privacy Changes: Understand the upcoming automated decision-making transparency requirements and why they matter for relevant Australian organisations.
2. AI Governance and ISO/IEC 42001: Discover how international AI management system principles can inform practical governance processes.
3. Identifying Automated Decision-Making: Learn how to discover decisions influenced by software, algorithms and AI within existing business operations.
4. AI Risk Assessment and Accountability: Understand how to distinguish legal applicability questions from operational risks and assign clear responsibilities.
5. Transparency, Disclosure and Documentation: Explore how organisations can collect evidence to support accurate privacy policy disclosures.
6. Practical AI Governance Framework: Learn a five-stage approach: Map, Assess, Assign, Disclose and Monitor.

**A REAL-WORLD BUSINESS SCENARIO**
Using a fictional AI-assisted recruitment screening scenario, Max will demonstrate how organisations can examine important questions:

* Did an automated system influence whether a candidate received an interview?
* What personal information was used?
* What decisions were made by software, and what did a human actually review?
* Who is responsible for explaining the decision?
* What evidence should the organisation maintain?

Discover how these questions can be translated into practical governance activities rather than remaining abstract compliance concerns.

**WHO SHOULD ATTEND?**
This webinar is particularly relevant for:

* Business owners, executives and organisational leaders
* AI practitioners, developers and technology professionals
* Business analysts, project managers and transformation teams
* Risk, governance, privacy and compliance professionals
* HR professionals using AI-assisted recruitment systems
* Consultants supporting digital transformation and responsible AI adoption
* Anyone interested in Australian AI regulation, AI transparency and ethical AI implementation

No advanced technical knowledge is required. Whether you're beginning to explore AI governance or already implementing AI-powered solutions, this session offers practical insights into managing automated decision-making responsibly.

**ABOUT THE SPEAKER**

Max Zhang
AI Governance & Responsible Adoption
Max brings a business analysis and project delivery perspective to AI governance, focusing on translating regulatory requirements and management-system principles into practical organisational workflows.
Connect with Max on LinkedIn:
[https://www.linkedin.com/in/max-zhang-051272242/](https://www.linkedin.com/in/max-zhang-051272242/)

**ABOUT AI LEARNERS CLUB**
AI Learners Club is a Sydney-based technology community bringing together AI enthusiasts, professionals, developers, founders and business leaders to learn, build and apply artificial intelligence in the real world.
Our mission is to make AI education practical, accessible and relevant through workshops, webinars, networking events and collaborative learning opportunities.

Website: [https://ailearnersclub.com/](https://ailearnersclub.com/)
Learn AI. Build with AI. Grow Together.

**RESERVE YOUR SPOT**
As AI adoption accelerates, organisations need more than powerful technology. They need clear accountability, transparency and governance processes.

Join us to explore how Australian organisations can prepare for upcoming automated decision-making transparency requirements and turn AI governance principles into practical action.

Register now and take the next step towards responsible AI adoption.
Educational disclaimer: This webinar provides general educational information and does not constitute legal advice or establish legal compliance or ISO/IEC 42001 certification.

**TOPICS**
AI Governance Australia, AI Compliance, Automated Decision-Making, Australian Privacy Act, ISO 42001, Responsible AI, AI Risk Management, AI Transparency, Business Analysis, AI Ethics, Digital Transformation

Mark

Hemal Raval

Yuto

Jabran Chaudhry

Yamit Chinchilla Ospina

kirstensamuel1

Alice Lee

JasonC

William Liu

AI Governance in Australia: Are You Ready for the December 2026 Changes?

Next Genius

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AI Learners Club is an Australian community for people who want to learn, build and grow with artificial intelligence.

We bring together students, professionals, founders, developers, business leaders and AI enthusiasts through practical workshops, webinars, project sessions and networking events.

Our focus is simple: make AI accessible, practical and useful. Members can learn new tools, build real projects, develop practical skills and connect with others across the AI ecosystem.

Whether you're just getting started or already working with AI, our network is a place to learn, collaborate and grow.

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