Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents

Fuente: arXiv
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Main Author: Lazar, Seth
Format: Preprint
Published: 2024
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author Lazar, Seth
author_facet Lazar, Seth
contents Some have criticised Generative AI Systems for replicating the familiar pathologies of already widely-deployed AI systems. Other critics highlight how they foreshadow vastly more powerful future systems, which might threaten humanity's survival. The first group says there is nothing new here; the other looks through the present to a perhaps distant horizon. In this paper, I instead pay attention to what makes these particular systems distinctive: both their remarkable scientific achievement, and the most likely and consequential ways in which they will change society over the next five to ten years. In particular, I explore the potential societal impacts and normative questions raised by the looming prospect of 'Language Model Agents', in which multimodal large language models (LLMs) form the executive centre of complex, tool-using AI systems that can take unsupervised sequences of actions towards some goal.
format Preprint
id arxiv_https___arxiv_org_abs_2404_06750
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents
Lazar, Seth
Computers and Society
Artificial Intelligence
Some have criticised Generative AI Systems for replicating the familiar pathologies of already widely-deployed AI systems. Other critics highlight how they foreshadow vastly more powerful future systems, which might threaten humanity's survival. The first group says there is nothing new here; the other looks through the present to a perhaps distant horizon. In this paper, I instead pay attention to what makes these particular systems distinctive: both their remarkable scientific achievement, and the most likely and consequential ways in which they will change society over the next five to ten years. In particular, I explore the potential societal impacts and normative questions raised by the looming prospect of 'Language Model Agents', in which multimodal large language models (LLMs) form the executive centre of complex, tool-using AI systems that can take unsupervised sequences of actions towards some goal.
title Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2404.06750