Social physics

M Jusup, P Holme, K Kanazawa, M Takayasu, I Romić… - Physics Reports, 2022 - Elsevier
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

The moral psychology of Artificial Intelligence

JF Bonnefon, I Rahwan, A Shariff - Annual review of psychology, 2024 - annualreviews.org
Moral psychology was shaped around three categories of agents and patients: humans,
other animals, and supernatural beings. Rapid progress in artificial intelligence has …

[HTML][HTML] Deep learning in food category recognition

Y Zhang, L Deng, H Zhu, W Wang, Z Ren, Q Zhou… - Information …, 2023 - Elsevier
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

A taxonomy of prompt modifiers for text-to-image generation

J Oppenlaender - Behaviour & Information Technology, 2023 - Taylor & Francis
Text-guided synthesis of images has become enormously popular and online communities
dedicated to text-to-image generation and art generated with Artificial Intelligence (AI) have …

Attachment and trust in artificial intelligence

O Gillath, T Ai, MS Branicky, S Keshmiri… - Computers in Human …, 2021 - Elsevier
Lack of trust is one of the main obstacles standing in the way of taking full advantage of the
benefits artificial intelligence (AI) has to offer. Most research on trust in AI focuses on …

Machine behaviour

I Rahwan, M Cebrian, N Obradovich, J Bongard… - Nature, 2019 - nature.com
Abstract Machines powered by artificial intelligence increasingly mediate our social, cultural,
economic and political interactions. Understanding the behaviour of artificial intelligence …

[HTML][HTML] Urban Artificial Intelligence: From Automation to Autonomy in the Smart City

F Cugurullo - Frontiers in Sustainable Cities, 2020 - frontiersin.org
Technological innovation is constantly reshaping the materiality and mechanics of smart-city
initiatives. Recently, innovation in artificial intelligence (AI) in the shape of self-driving cars …

Open problems in cooperative ai

A Dafoe, E Hughes, Y Bachrach, T Collins… - arXiv preprint arXiv …, 2020 - arxiv.org
Problems of cooperation--in which agents seek ways to jointly improve their welfare--are
ubiquitous and important. They can be found at scales ranging from our daily routines--such …

Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI

W Xu, MJ Dainoff, L Ge, Z Gao - International Journal of Human …, 2023 - Taylor & Francis
While AI has benefited humans, it may also harm humans if not appropriately developed.
The priority of current HCI work should focus on transiting from conventional human …

Social influence as intrinsic motivation for multi-agent deep reinforcement learning

N Jaques, A Lazaridou, E Hughes… - International …, 2019 - proceedings.mlr.press
We propose a unified mechanism for achieving coordination and communication in Multi-
Agent Reinforcement Learning (MARL), through rewarding agents for having causal …