Visibility into AI Agents

A Chan, C Ezell, M Kaufmann, K Wei… - The 2024 ACM …, 2024 - dl.acm.org
Increased delegation of commercial, scientific, governmental, and personal activities to AI
agents—systems capable of pursuing complex goals with limited supervision—may …

The economic impacts and the regulation of AI: A review of the academic literature and policy actions

M Comunale, A Manera - 2024 - papers.ssrn.com
We review the literature on the effects of Artificial Intelligence (AI) adoption and the ongoing
regulatory efforts concerning this technology. Economic research encompasses growth …

The ethics of advanced ai assistants

I Gabriel, A Manzini, G Keeling, LA Hendricks… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Generative ghosts: Anticipating benefits and risks of AI afterlives

MR Morris, JR Brubaker - arXiv preprint arXiv:2402.01662, 2024 - arxiv.org
As AI systems quickly improve in both breadth and depth of performance, they lend
themselves to creating increasingly powerful and realistic agents, including the possibility of …

Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment

A Manzini, G Keeling, N Marchal, KR McKee… - The 2024 ACM …, 2024 - dl.acm.org
As AI assistants become increasingly sophisticated and deeply integrated into our lives,
questions of trust rise to the forefront. In this paper, we build on philosophical studies of trust …

Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation

L Heim, T Fist, J Egan, S Huang, S Zekany… - arXiv preprint arXiv …, 2024 - arxiv.org
As jurisdictions around the world take their first steps toward regulating the most powerful AI
systems, such as the EU AI Act and the US Executive Order 14110, there is a growing need …

A Moral Imperative: The Need for Continual Superalignment of Large Language Models

G Puthumanaillam, M Vora, P Thangeda… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper examines the challenges associated with achieving life-long superalignment in
AI systems, particularly large language models (LLMs). Superalignment is a theoretical …

Are Large Language Models Consistent over Value-laden Questions?

J Moore, T Deshpande, D Yang - arXiv preprint arXiv:2407.02996, 2024 - arxiv.org
Large language models (LLMs) appear to bias their survey answers toward certain values.
Nonetheless, some argue that LLMs are too inconsistent to simulate particular values. Are …

Open Problems in Technical AI Governance

A Reuel, B Bucknall, S Casper, T Fist, L Soder… - arXiv preprint arXiv …, 2024 - arxiv.org
AI progress is creating a growing range of risks and opportunities, but it is often unclear how
they should be navigated. In many cases, the barriers and uncertainties faced are at least …

LLMSat: A Large Language Model-Based Goal-Oriented Agent for Autonomous Space Exploration

D Maranto - arXiv preprint arXiv:2405.01392, 2024 - arxiv.org
As spacecraft journey further from Earth with more complex missions, systems of greater
autonomy and onboard intelligence are called for. Reducing reliance on human-based …