AI

A Survey on Human-AI Collaboration with Large Foundation Models

A recent survey on human-AI collaboration with large foundation models highlights the importance of careful design in creating trustworthy and beneficial partnerships. The authors identify four key areas for integration: human-guided model development, collaborative design principles, ethical and governance frameworks, and applications in high-stakes domains. They argue that stronger AI models do not automatically lead to successful human-AI systems, but rather require a huma
A recent survey on human-AI collaboration with large foundation models highlights the importance of careful design in creating trustworthy and beneficial partnerships. The authors identify four key areas for integration: human-guided model development, collaborative design principles, ethical and governance frameworks, and applications in high-stakes domains. They argue that stronger AI models do not automatically lead to successful human-AI systems, but rather require a human-centered approach. The survey aims to provide insight into current and future research on turning the power of large foundation models into reliable partnerships. --- Why it matters: This matters because it shows that simply increasing the capabilities of AI models is not enough; careful design and collaboration with humans are crucial for creating systems that are safe, fair, and beneficial to society. Engineers working in AI will need to consider these factors when developing new systems. Source: https://arxiv.org/abs/2403.04931

This article was originally published at: https://arxiv.org/abs/2403.04931