This paper focuses on the opportunities and the ethical and societal risks posed by
advanced AI assistants. We define advanced AI assistants as artificial agents with natural …

Human feedback plays a central role in the alignment of Large Language Models (LLMs).
However, open questions remain about the methods (how), domains (where), people (who) …

This study explores university educators' perspectives on their alignment with artificial
intelligence (AI) ethics, considering activity theory (AT), which forms the theoretical …

Model evaluations are central to understanding the safety, risks, and societal impacts of AI
systems. While most real-world AI applications involve human-AI interaction, most current …

Growing interest and investment in the capabilities of foundation models has positioned
such systems to impact a wide array of services, from banking to healthcare. Alongside …

This study introduces ValueScope, a framework leveraging language models to quantify
social norms and values within online communities, grounded in social science perspectives …

The application of generative artificial intelligence (GenAI) technologies in the field of
propaganda influences information creation, dissemination, and reception, and introduces …

Large language models (LLMs) are increasingly deployed via public-facing interfaces to
interact with millions of users, each with diverse preferences. Despite this, preference tuning …

Although predictive algorithms have been described as the definitive solution to bias in
health care, machine learning techniques may also propagate existing health inequities …

Ongoing calls from academic and civil society groups and regulatory demands for the
central role of affected communities in development, evaluation, and deployment of artificial …