Skip to content
HeyJared

Decoded: AI for Everyone

Where silicon meets soul, and algorithms make sense of the everyday.This isn’t just another tech podcast. Decoded demystifies artificial intelligence with wit, warmth, and a dash of the delightfully unexpected.

Podcast · By Joel Leslie · Australian English · Official site

Indexed episodes, last 90 days
10
Latest publication
Sep 12, 2026
Audience
Checking…
Earliest in this view
Jul 8, 2026

Latest episodes

  1. Episode · Sep 12, 2026

    What We Keep Human: The edge case is not a bug! (opens the original)

    Episode notes

    Read excerpt

    What do we choose to keep human? In the final episode of Season 4, we bring Decoded: AI for Everyone back to the central idea of Applied Intelligence: not using AI for everything, but knowing where it helps, where it distorts, and where human judgement must remain. This episode looks at the people caught inside automated systems when something goes wrong. The booking that cannot be fixed. The account that should not have been cancelled. The customer service agent who can see the problem, but has

  2. Episode · Sep 4, 2026

    AI Misalignment: When Following the Rules is Not Enough! (opens the original)

    Episode notes

    Read excerpt

    Sometimes AI does exactly what it was asked to do, and still gets it wrong. In this episode of Decoded: AI for Everyone, we explain misalignment in plain English. Not as science fiction. Not as a robot rebellion. But as something much more ordinary: the gap between the instruction and the intent. An AI system may follow the rule, optimise the target, complete the task and produce the output, while still missing the human purpose behind it. This episode looks at real-world examples including heal

  3. Episode · Aug 28, 2026

    AI & Security: The Model Is the Target (opens the original)

    Episode notes

    Read excerpt

    AI security is no longer just about firewalls, passwords and patches. In this episode of Decoded: AI for Everyone, we explore why advanced AI systems are becoming strategic assets and why the model, the data it can see, the instructions it follows and the tools it can use all need to be protected. For frontier AI companies, the model itself may be the prize... the weights, training pipeline, safety methods and unreleased capabilities. But for most organisations, the risk is different. They may n

  4. Episode · Aug 22, 2026

    AI & Learning: Getting the Answer Is Not Learning (opens the original)

    Episode notes

    Read excerpt

    Getting the answer is not the same thing as learning. In this episode of Decoded: AI for Everyone, we explore how AI is changing the way we learn, not just by giving answers, but by making ideas more visual, interactive and personal. The public conversation often focuses on students using AI to cheat. That matters, but it is not the whole story. AI can also turn equations into graphs, text into examples, confusion into questions and abstract concepts into something people can finally see. But th

  5. Episode · Aug 14, 2026

    The AI Scam That Knows You, intimately! (opens the original)

    Episode notes · Neutral tone

    Read excerpt

    AI-enabled scams are becoming harder to spot because they no longer have to sound fake. In this episode of Decoded: AI for Everyone, we explore how scams are becoming more personal, more believable and more emotionally targeted. A scam message may now use your role, your family context, your writing style, your supplier relationships, your recent posts or even a cloned voice to sound familiar at exactly the wrong moment. This episode looks at voice cloning, deepfake video calls, personalised phi

Publishing over time

Last 90 days. Choose a month to open its work.

Recurring subjects

Named in the text we hold. One piece can cover several.

Audience

No verified audience measurement yet.

About this data

Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.

Identity or attribution wrong? Suggest a correction.

See coverage about Decoded: AI for Everyone