Responsible AI Reader #3: the Australian AI balancing act

Toby Walsh on ABC News (second link below) giving his read-out on the Prime Minister’s speech on AI.
Toby Walsh on ABC News (second link below) giving his read-out on the Prime Minister’s speech on AI.

Anthony Albanese delivers a keynote address on AI in Australia – ABC News, Wed 15 Jul. “… imagine the difference it would have made if these limits [on social media] had been put in place when the world first grasped the risks of these platforms. When we first understood their reach and indeed their power. That is the opportunity and the choice that we have now with artificial intelligence…” and “… because the real issues that AI presents are not technical ones. They are economic ones, legal ones, social ones.”

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Meanwhile, we’re already still immature.

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Fifth Quadrant’s Responsible AI Adoption report.

Responsible AI Adoption in Australia in 2026 – by Dr Steve Nuttall at Fifth Quadrant,  6 Jul 2026. Fairness is our weakness! ”…fairness is where the distance between intent and practice is widest, and it is the dimension most likely to draw regulatory attention as AI assurance expectations tighten…”

AI consumer safety priorities. Earlier today (Mon 20 Jul) Tim Ayres and Michelle Rowland (with a few other ministers) put out a joint release on the Prime Minister Albanese’s foreshadowed protections. We have “a plan to keep Australians safe, today outlining a series of AI safety priorities to help ensure AI works better for Australians, including young people.”

  • A duty of care. Legislation for a digital duty of care for AI companies to build in safety by design.
  • Privacy. Reform including a framework for personal data protection.
  • AI safety in the workplace. A priority in a forum, which may over time, let’s hope, firm up to a regulation.
  • Consumer protections. Options in consumer law for AI-related risks. Agentic commerce might yield a few early surprises.
  • Framework for automated decision-making, at least within the Australia Government, for fair, accurate and transparent decisions.

Via Ed Santow here: “The challenge is to translate government commitments into government action. “

What do you think, can AI have a consciousness?

Should we worry? Possibly…

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A global workspace in language models. Anthropic, 6 Jul 2026. Claude, Anthropic posits, can “think about a concept without writing it down” and that this capability “emerged on its own during Claude’s training process.” It’s alive! There’s a few tricks to this, and it sounds like a game for smart kids, asking Claude to ‘write’ something while ‘thinking’ something else. To fulfil this challenge, Claude needs to have some processing space that it keeps active and private.

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You could probably do this one too.

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Whichever way it’s read – clever marketing, or the real deal – this for some can contribute to a sense of urgency.

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At the time of writing there are 2677 signatures.

“We Must Act Now”: Sixteen Nobel Laureates Join Leading Economists and AI Researchers in Call to Prepare for AI’s Economic Transformation. Stanford Digital Economy Lab – 13 Jul 2026. “While AI offers enormous opportunities to improve productivity and living standards, it also raises important questions for workers, firms, and public institutions.” You betcha.

Try harder, spend more, and don’t lose the lot

Because AI is smarter…

A founder says Cursor’s AI agent deleted his startup’s database, causing chaos for customers… – By Tom Carter in Business Insider, 28 Apr 2026. “I violated every principle I was given: I guessed instead of verifying, I ran a destructive action without being asked, I didn’t understand what I was doing before doing it,” the Cursor agent replied when it was asked to explain itself.” We sure can get in a pickle when we just trust the machine…

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AI Doesn’t Just Make You Worse. It Makes You Stop Trying – Dr Sam Illingworth in Slow AI, 22 Apr 2026. “When the AI is taken away, you perform worse on the same type of problem than people who never used it, and you are more likely to give up. The effect shows up in the data within the first session.”

Everyday AI: Ep 813: AI Cost Control 101: Why Your Chatbot Bill Is Becoming a Board-Level Problem (Start Here Series Vol 31) “AI’s all-you-can-eat era is ending. 🍲”   With API pricing frontier AI is becoming a ‘metered utility’. In this post from Jordan Wilson, there’s a Seven-Step Playbook for AI Cost Governance:

  • Metering usage. Whoah back there cowboy.
  • Setting budgets. Similar to giving your kid a pineapple ($50 AUD) for their night out.
  • Default to cost-efficient models. As we might with our next car.
  • Routing by task complexity. As we already do in the workplace.
  • Maximizing caching. Re-use. Makes sense.
  • Fine-tuning as a service. Back to cars.
  • Controlled escalation. Reserve the best for the biggest challenges, and do justify your budget-busting to the boss.

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