CSET：2024年AI代理（AI Agent）技术现状、风险及策略研究报告（英文版）（39页）.pdf

1、Workshop ReportOctober 2024Chris PainterCullen OKeefeIason GabrielKathleen FisherKetan RamakrishnanKrystal JacksonNoam KoltRebecca CrootofSamrat ChatterjeeThrough the ChatWindow and Into the Real WorldPreparing for AI AgentsAuthorsHelen Toner*John Bansemer*Kyle Crichton*Matt Burtell*Thomas Woodside*

2、Anat LiorAndrew J.LohnAshwin AcharyaBeba Cibralic*Workshop Organizers Center for Security and Emerging Technology|1 Executive Summary The concept of artificial intelligence systems that actively pursue goalsknown as AI“agents”is not new.But over the last year or two,progress in large language models

3、(LLMs)has sparked a wave of excitement among AI developers about the possibility of creating sophisticated,general-purpose AI agents in the near future.Startups and major technology companies have announced their intent to build and sell AI agents that can act as personal assistants,virtual employee

4、s,software engineers,and more.While current systems remain somewhat rudimentary,they are improving quickly.Widespread deployment of highly capable AI agents could have transformative effects on society and the economy.This workshop report describes findings from a recent CSET-led workshop on the pol

5、icy implications of increasingly“agentic”AI systems.In the absence of a consensus definition of an“agent,”we describe four characteristics of increasingly agentic AI systems:they pursue more complex goals in more complex environments,exhibiting independent planning and adaptation to directly take ac

6、tions in virtual or real-world environments.These characteristics help to establish how,for example,a cyber-offense agent that could autonomously carry out a cyber intrusion would be more agentic than a chatbot advising a human hacker.A“CEO-AI”that could run a company without human intervention woul