This paper distinguishes between proven fact and speculation, and illustrates how facial recognition technology (FRT) can have markedly different implications for society depending on the type of system and the reasons for its use.

Facial recognition technology, which often relies on opaque algorithms developed by tech companies, is rapidly infiltrating many aspects of people's lives. But lawyers and technology experts warn the technology can be racially discriminatory.

This collection of essays aim to give policymakers a deeper understanding of how China is innovating with artificial intelligence (AI) in public services, challenging current misconceptions and illuminating nuances in the debate.

A deep fake is a digital forgery created through deep learning (a subset of AI). Deep fakes can create entirely new content or manipulate existing content, including video, images, audio and text. This paper argues that policymakers face a narrowing window of opportunity to minimise...

This working paper aims to provide a selected array of artificial intelligence (AI) use cases in education and a glimpse into the opportunities and challenges raised by this technology, with a view to stimulating debate and providing sector-level insights into how the G20 AI Principles...

This report assesses the challenges that China is facing in developing its artificial intelligence (AI) industry due to unprecedented US technology export restrictions.

This report examines the impact of algorithmic changes made by social media platforms, designed to curb the spread of disinformation, through the lens of digital marketing. The report highlights some of the techniques used by campaigners to attract, retain and persuade online audiences. It also...

Robots, artificial intelligence (AI) and other digital technologies have become very newsworthy around the globe (NZPC, 2019). The news coverage is overwhelmingly pessimistic – for individuals and society in general. But does that coverage translate into negative attitudes for the population as a whole?

Using machine learning, online targeting systems predict what content is most likely to interest people, and influence people to behave in a particular way. This research report shows that people welcome the convenience these systems offer, but express concern when they learn about the systems’...

Revelations about Clearview AI’s harvesting of online images challenge us all to think carefully about this technology’s impacts.