![]() ![]() New Zealand doesn’t have laws specifically tailored towards algorithms, but some are relevant in this context. Our report takes a detailed look at how well New Zealand law currently handles these transparency issues. Systems should be regularly evaluated and summary results made available to the public in a systematic format.Īvoid the politics and let artificial intelligence decide your vote in the next election The public should know what AI systems their government uses as well as how well they perform. We believe explanation systems will be increasingly important as AI technology advances.Ī final type of transparency relates to public access to information about the AI systems used in government. Their job is to construct simpler models of how the underlying algorithms work – simple enough to be understandable to people. These are additional algorithms “bolted on” to the main algorithm we seek to understand. ![]() A decision-making system can be supplemented with an “explanation system”. To make explanations intelligible, additional technology is required. The best performing AI systems are often extremely complex. Knowing how an AI system works doesn’t guarantee the decisions it reaches will be understood by the people affected. This means that we know how the tools work.īut intelligibility is another issue. Unlike some countries that use commercial AI products, New Zealand has tended to build government AI tools in-house. Some aspects of New Zealand government practice are reassuring. One relates to the inspectability of algorithms. There are three important issues regarding transparency. ![]()
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