Foundational challenges in assuring alignment and safety of large language models
This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories …
language models (LLMs). These challenges are organized into three different categories …
[PDF][PDF] Managing ai risks in an era of rapid progress
In this short consensus paper, we outline risks from upcoming, advanced AI systems. We
examine large-scale social harms and malicious uses, as well as an irreversible loss of …
examine large-scale social harms and malicious uses, as well as an irreversible loss of …
Managing extreme AI risks amid rapid progress
Artificial intelligence (AI) is progressing rapidly, and companies are shifting their focus to
developing generalist AI systems that can autonomously act and pursue goals. Increases in …
developing generalist AI systems that can autonomously act and pursue goals. Increases in …
Explosive growth from AI automation: A review of the arguments
E Erdil, T Besiroglu - arXiv preprint arXiv:2309.11690, 2023 - arxiv.org
We examine whether substantial AI automation could accelerate global economic growth by
about an order of magnitude, akin to the economic growth effects of the Industrial …
about an order of magnitude, akin to the economic growth effects of the Industrial …
Algorithmic progress in language models
We investigate the rate at which algorithms for pre-training language models have improved
since the advent of deep learning. Using a dataset of over 200 language model evaluations …
since the advent of deep learning. Using a dataset of over 200 language model evaluations …
Computing Power and the Governance of Artificial Intelligence
Computing power, or" compute," is crucial for the development and deployment of artificial
intelligence (AI) capabilities. As a result, governments and companies have started to …
intelligence (AI) capabilities. As a result, governments and companies have started to …
Training Compute Thresholds: Features and Functions in AI Regulation
L Heim, L Koessler - arXiv preprint arXiv:2405.10799, 2024 - arxiv.org
Regulators in the US and EU are using thresholds based on training compute--the number
of computational operations used in training--to identify general-purpose artificial …
of computational operations used in training--to identify general-purpose artificial …
Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision?
M Svanberg, W Li, M Fleming, B Goehring… - Available at SSRN …, 2024 - papers.ssrn.com
The faster AI automation spreads through the economy, the more profound its potential
impacts, both positive (improved productivity) and negative (worker displacement). The …
impacts, both positive (improved productivity) and negative (worker displacement). The …
International governance of advancing artificial intelligence
N Emery-Xu, R Jordan, R Trager - AI & SOCIETY, 2024 - Springer
New technologies with military applications may demand new modes of governance. In this
article, we develop a taxonomy of technology governance forms, outline their strengths, and …
article, we develop a taxonomy of technology governance forms, outline their strengths, and …
A Causal Framework for AI Regulation and Auditing
Artificial intelligence (AI) systems are poised to become deeply integrated into society. If
developed responsibly, AI has potential to benefit humanity immensely. However, it also …
developed responsibly, AI has potential to benefit humanity immensely. However, it also …