[HTML][HTML] A social path to human-like artificial intelligence

EA Duéñez-Guzmán, S Sadedin, JX Wang… - Nature Machine …, 2023 - nature.com
Traditionally, cognitive and computer scientists have viewed intelligence solipsistically, as a
property of unitary agents devoid of social context. Given the success of contemporary …

The illusion of artificial inclusion

W Agnew, AS Bergman, J Chien, M Díaz… - Proceedings of the CHI …, 2024 - dl.acm.org
Human participants play a central role in the development of modern artificial intelligence
(AI) technology, in psychological science, and in user research. Recent advances in …

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 …

Simple autonomous agents can enhance creative semantic discovery by human groups

A Ueshima, MI Jones, NA Christakis - Nature Communications, 2024 - nature.com
Innovation is challenging, and theory and experiments indicate that groups may be better
able to identify and preserve innovations than individuals. But innovation within groups …

Synthetic duality: A framework for analyzing generative artificial intelligence's representation of social reality

D Karell, J Sachs, R Barrett - Poetics, 2025 - Elsevier
The development of generative artificial intelligence (genAI) has caused concern about its
potential risks, including how its ability to generate human-like texts could affect our shared …

Behavioral Strategy: Exploring Microfoundations of Competitive Advantage

NJ Foss, A Mazzelli, L Weber - Elements in Business Strategy, 2024 - cambridge.org
Behavioral strategy has emerged as one of the most important currents in contemporary
strategic management. But, what is it? Where does it come from? Why is it important? This …

[PDF][PDF] Artificial Intelligence Summaries of Historical Events Improve Knowledge Compared to Human-Written Summaries

D Karell, M Shu, K Okura, T Davidson - Open Science Foundation, 2024 - osf.io
How do artificial intelligence (AI) tools affect people's knowledge? Existing scholarship
supports contrasting expectations. Some research shows that people often find AI-generated …

Human risk recognition and prediction in manned submersible diving tasks driven by deep learning models

Y Qiao, H Li, D Chen, H Zhao, L Ma, Y Wang - Advanced Engineering …, 2024 - Elsevier
The complexity of human cognition is increased by the multiple and interactive information
clusters brought about by the application of advanced intelligent information technologies …

Instigating Cooperation among LLM Agents Using Adaptive Information Modulation

Q Chen, S Ilami, N Lore, B Heydari - arXiv preprint arXiv:2409.10372, 2024 - arxiv.org
This paper introduces a novel framework combining LLM agents as proxies for human
strategic behavior with reinforcement learning (RL) to engage these agents in evolving …

Deconstructing Cooperation and Ostracism via Multi-Agent Reinforcement Learning

A Ueshima, S Omidshafiei, H Shirado - arXiv preprint arXiv:2310.04623, 2023 - arxiv.org
Cooperation is challenging in biological systems, human societies, and multi-agent systems
in general. While a group can benefit when everyone cooperates, it is tempting for each …