What happens when an algorithm decides if you’re innocent, guilty… or in debt?

In this first episode of Season 2, we delve into the world of AI governance & law, the guardrails that govern how Artificial Intelligence is regulated, deployed, and held accountable. From Australia’s Robodebt scandal to the COMPAS risk-scoring system in US courts, we examine how governance failures can lead to injustice at scale, and what you can do about it.

We’ll break down global approaches, from the EU AI Act to Australia’s evolving privacy laws, and show why governance isn’t just paperwork. It’s about trust, rights, and accountability.

Most importantly, we shine a light on how to recognise when AI is making decisions about you, and what simple actions you can take to ask better questions, push for transparency, and ensure AI works for people, not just systems.

Season 2 of Decoded: AI for Everyone is powered by Strategen AI, where research meets execution in AI, Data, & Digital strategy.

RESOURCES

Podcast Website: ⁠decoded-podcast.com⁠

Prompts and Tools: promptengineeringcookbook.com

AI Strategy & Research: strategen-ai.com

LinkedIn: linkedin.com/company/decoded-ai-for-everyone

We’ve covered a lot in Season 1, from silent AI in your pocket to building your personal AI stack. In this final episode of the season, we’ll synthesise the big ideas, highlight your listener takeaways, and lay the foundation for Season 2.

This isn’t just a recap, it’s a call to action. You’ll hear callback moments from past episodes, reflections from listeners, and an invitation to shape the future of Decoded.

We’re taking a short mid-year break to research, interview, and design Season 2. Your voice will help decide where we go next.

For AI resources, prompt tools, and tips, visit the Prompt Engineering Cookbook

Everyone talks about AI like it's a distant concept. But what if it could be your personal productivity system, your assistant, your co-worker... right now?

In this episode, Joel breaks down the anatomy of a modern AI workflow and shows you how to build your own personal AI stack. From large language models (LLMs) and task agents to note-taking AI and smart scheduling. We connect the dots across today's emerging tools.

What we will cover:

• How to identify where AI fits in your daily work.
• The difference between tools, copilots, and agents.
• How to safely and effectively delegate tasks to AI.
• What your first "AI workflow" might look like tomorrow.

Resources & templates: promptengineeringcookbook.com.

Next episode: Decoded Season 1 Wrap: The New Literacy of AI