With companies increasingly using AI for decision making in everything from pricing to recruitment, “Addressing the problem of algorithmic bias”, explores how these decision-making systems can result in unfairness.
With companies increasingly using AI for decision making in everything from pricing to recruitment, “Addressing the problem of algorithmic bias”, explores how these decision-making systems can result in unfairness.
A couple of years ago, "AI in coding" mostly meant autocomplete: a tool that finished your sentence as you typed, like predictive text for programmers. It was useful, but modest. The human did the engineering while the machine saved keystro...
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Join us for this two-day interdisciplinary forum grounded in the science of AI safety as explored in the International AI Safety Report, as we bring together people from across research, government, industry and civil society to shape Austr...
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We're delighted to welcome Emily Low to the Gradient team!
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