
Bronwyn Howell
Articles
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Nov 20, 2024 |
nzae.substack.com | Bronwyn Howell
KiwiRail is a state-owned enterprise, and so by law its principal objective is âto operate as a successful businessâ. Success in the business world means that you provide something that your customers are willing to pay for, at a price for that exceeds your cost of production, leaving something to reward your owners/investors for the resources they have committed. How does KiwiRail measure up against that? KiwiRail came into existence in July 2008.
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Oct 31, 2024 |
aei.org | Bronwyn Howell
Key PointsRisk management practice, on which current AI governance and regulation are based, differs substantially from managing in the face of uncertainty. Generative pretrained AI applications are complex and dynamic, with uncertain outcomes that will be deployed in complex dynamic human systems, the mechanisms of which are also unknown. The potential outcomes are highly uncertain. Regulation based on risk management cannot prevent harm arising from outcomes that cannot be known ex ante.
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Sep 24, 2024 |
aei.org | Bronwyn Howell |Owen O’Brien-Powers
Flushed with the success last month of granting workers the “right to disconnect” from work communications after hours, the Australian government now plans to disconnect children from social media. On Tuesday September 10, Prime Minister Anthony Albanese announced plans to introduce legislation to enforce a minimum age for social media access – likely somewhere around 14 to 16 – before the end of 2024.
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Sep 16, 2024 |
aei.org | Bronwyn Howell |Owen O’Brien-Powers
Australia has made something of an art form of leading the world with digital laws that look interesting at first blush, but then prove either difficult to implement or impotent. Way back in 2015 was the “Hockey Tax” where Treasurer Joe Hockey passed a law requiring Netflix – not then a registered Australian company – to pay tax on subscriptions sold to Australians.
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Sep 4, 2024 |
aei.org | Bronwyn Howell
Key PointsGenerative pretrained transformers (GPTs)—such as large language models like ChatGPT, Claude, and Llama—come from a different computing paradigm than do traditional “big data” artificial intelligence models. Traditional risk-management frameworks developed from the precautionary principle to address the risks of big data AI models (which current AI regulations are based on) are not well suited to manage GPT risks.
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