For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …

This paper argues that a range of current AI systems have learned how to deceive humans.
We define deception as the systematic inducement of false beliefs in the pursuit of some …

Recent breakthroughs in large language models (LLMs) have brought remarkable success
in the field of LLM-as-Agent. Nevertheless, a prevalent assumption is that the information …

Decision-making is a complex process requiring diverse abilities, making it an excellent
framework for evaluating Large Language Models (LLMs). Researchers have examined …

This paper presents a comprehensive survey of the current status and opportunities for
Large Language Models (LLMs) in strategic reasoning, a sophisticated form of reasoning …

To understand the risks posed by a new AI system, we must understand what it can and
cannot do. Building on prior work, we introduce a programme of new" dangerous capability" …

Recent advancements in Large Language Models (LLMs) showcase advanced reasoning,
yet NLP evaluations often depend on static benchmarks. Evaluating this necessitates …

The rapid rise of generative artificial intelligence (GenAI) has prompted a vigorous
discussion about the role this technology should play in the business classroom (Adeshola …

We demonstrate a situation in which Large Language Models, trained to be helpful,
harmless, and honest, can display misaligned behavior and strategically deceive their users …

Recently, Large Language Model based Autonomous System (LLMAS) has gained great
popularity for its potential to simulate complicated behaviors of human societies. One of its …