Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …

Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …

A number of leading AI companies, including OpenAI, Google DeepMind, and Anthropic,
have the stated goal of building artificial general intelligence (AGI)-AI systems that achieve …

Computer science research has led to many breakthrough innovations but has also been
scrutinized for enabling technology that has negative, unintended consequences for society …

Large pre-trained language models have shown promise for few-shot learning, completing
text-based tasks given only a few task-specific examples. Will models soon solve …

Using user-generated content from open-access platforms such as Reddit for research
raises ethical questions and challenges. Research projects involving publicly available data …

Organizations that develop and deploy artificial intelligence (AI) systems need to manage
the associated risks—for economic, legal, and ethical reasons. However, it is not always …

Prompt-based interfaces for Large Language Models (LLMs) have made prototyping and
building AI-powered applications easier than ever before. However, identifying potential …

The development and deployment of artificial intelligence (AI) systems poses significant
risks to society. To reduce these risks to an acceptable level, AI companies need an effective …

Anthropomorphism, or the attribution of human-like characteristics to non-human entities,
has shaped conversations about the impacts and possibilities of technology. We present …