Rapid advancements in artificial intelligence (AI) have sparked growing concerns among
experts, policymakers, and world leaders regarding the potential for increasingly advanced …

The remarkable progress in algorithms for machine and deep learning have opened the
doors to new opportunities, and some dark possibilities. However, a bright future awaits …

Machine learning (ML) systems are rapidly increasing in size, are acquiring new
capabilities, and are increasingly deployed in high-stakes settings. As with other powerful …

Recent years have witnessed remarkable progress made in large language models (LLMs).
Such advancements, while garnering significant attention, have concurrently elicited various …

Sustainability development goals (SDGs) are regarded as a universal call to action with the
overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity …

Online platforms have a wealth of data, run countless experiments, and use industrial-scale
algorithms to optimize user experience. Despite this, many users seem to regret the time …

The COVID-19 pandemic has created multiple opportunities to deploy artificial intelligence
(AI)-driven tools and applied interventions to understand, mitigate, and manage the …

AI systems often rely on two key components: a specified goal or reward function and an
optimization algorithm to compute the optimal behavior for that goal. This approach is …

In contrast to the extensive debate on the influence of algorithmic news recommenders
(ANRs) on individual news diets, the interaction between such systems and journalistic …

This paper investigates incorporating community well-being metrics into the objectives of
optimization algorithms and the teams that build them. It documents two cases where a large …