Machine Culture
arXiv:2311.11388 · doi:10.1038/s41562-023-01742-2
Abstract
The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notion of machine culture, culture mediated or generated by machines. We argue that intelligent machines simultaneously transform the cultural evolutionary processes of variation, transmission, and selection. Recommender algorithms are altering social learning dynamics. Chatbots are forming a new mode of cultural transmission, serving as cultural models. Furthermore, intelligent machines are evolving as contributors in generating cultural traits--from game strategies and visual art to scientific results. We provide a conceptual framework for studying the present and anticipated future impact of machines on cultural evolution, and present a research agenda for the study of machine culture.
References in corpus (18)
- Training language models to follow instructions with human feedback
- LLaMA: Open and Efficient Foundation Language Models
- Hierarchical Text-Conditional Image Generation with CLIP Latents
- Evaluating Large Language Models Trained on Code
- High-Resolution Image Synthesis with Latent Diffusion Models
- Society-in-the-Loop: Programming the Algorithmic Social Contract
- Invention as a Combinatorial Process: Evidence from U.S. Patents
- How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation
- Degenerate Feedback Loops in Recommender Systems
- Fine-tuning language models to find agreement among humans with diverse preferences
- Superhuman Artificial Intelligence Can Improve Human Decision Making by Increasing Novelty
- Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks
- Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
- Observational Learning by Reinforcement Learning
- Link recommendations: Their impact on network structure and minorities
- NLPositionality: Characterizing Design Biases of Datasets and Models
- Interpolating GANs to Scaffold Autotelic Creativity
- How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language