Artificial intelligence (AI) is increasingly proposed to address deficiencies across water
systems, which currently leave about 25% of the global population without clean water …

This systematic literature review synthesizes the conceptualizations of ethical principles in AI
auditing literature and the knowledge contributions to the stakeholders of AI auditing. We …

We describe our early efforts to red team language models in order to simultaneously
discover, measure, and attempt to reduce their potentially harmful outputs. We make three …

Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …

Large-scale pre-training has recently emerged as a technique for creating capable, general-
purpose, generative models such as GPT-3, Megatron-Turing NLG, Gopher, and many …

A recent trend in artificial intelligence is the use of pretrained models for language and
vision tasks, which have achieved extraordinary performance but also puzzling failures …

The development of processes and tools for ethical, trustworthy, and legal AI is only
beginning. At the same time, legal requirements are emerging in various jurisdictions …

Using programmable network devices to aid in-network machine learning has been the
focus of significant research. However, most of the research was of a limited scope …

Technical experts and policy-makers have increasingly emphasized the need to address
extinction risk from artificial intelligence (AI) systems that might circumvent safeguards and …

Auditing plays a pivotal role in the development of trustworthy AI. However, current research
primarily focuses on creating auditable AI documentation, which is intended for regulators …