Artificial intelligence has become a routine presence in everyday life. Accessing information
over the Web, consuming news and entertainment, the performance of financial markets, the …

We commonly think of society as made of and by humans, but with the proliferation of
machine learning and AI technologies, this is clearly no longer the case. Billions of …

In recent years, AI research has become more and more computationally demanding. In
natural language processing (NLP), this tendency is reflected in the emergence of large …

Education—as with most areas of contemporary life—is becoming steadily infused with
small acts of technology-based automation. These automations are intrinsic to the software …

Designing technology for education is never only a problem-solving practice. It is always
already about creating spaces for inherently political and affective sociotechnical future …

The growing power of digital platforms raises the question of democratic control or at least
containment. In light of the transforming impact of platforms on markets, the public sphere …

This report identifies two main bodies of academic research that pay sustained attention to
algorithmic recommendation in the realm of culture: a) academic computer science and b) …

In recent years, Amazon, Microsoft, and Google have become three of the dominant
developers of AI infrastructures and services. The increasing economic and political power …

When algorithmic harms emerge, a reasonable response is to stop using the algorithm to
resolve concerns related to fairness, accountability, transparency, and ethics (FATE) …

This paper investigates the role of the materiality of computation in two domains: blockchain
technologies and artificial intelligence (AI). Although historically designed as parallel …