Summary of A Survey on Human-ai Teaming with Large Pre-trained Models, by Vanshika Vats et al.

A Survey on Human-AI Teaming with Large Pre-Trained Models

by Vanshika Vats, Marzia Binta Nizam, Minghao Liu, Ziyuan Wang, Richard Ho, Mohnish Sai Prasad, Vincent Titterton, Sai Venkat Malreddy, Riya Aggarwal, Yanwen Xu, Lei Ding, Jay Mehta, Nathan Grinnell, Li Liu, Sijia Zhong, Devanathan Nallur Gandamani, Xinyi Tang, Rohan Ghosalkar, Celeste Shen, Rachel Shen, Nafisa Hussain, Kesav Ravichandran, James Davis

First submitted to arxiv on: 7 Mar 2024

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Summary difficulty	Written by	Summary
High	Paper authors	High Difficulty Summary Read the original abstract here
Medium	GrooveSquid.com (original content)	Medium Difficulty Summary Medium Difficulty Summary: In the field of artificial intelligence (AI), Human-AI (HAI) Teaming has become a crucial aspect of problem-solving and decision-making processes. Large Pre-trained Models (LPtM) have revolutionized this landscape by leveraging vast amounts of data to understand complex patterns. This paper explores the integration of LPtMs with HAI, highlighting how these models enhance collaborative intelligence beyond traditional approaches. The study discusses the collaboration’s potential for AI model improvements, effective teaming, ethical considerations, and broad applied implications in various sectors. Insights are provided on the transformative impact of LPtM-enhanced HAI Teaming, offering future research directions, policy development, and strategic implementations aimed at harnessing its full potential.
Low	GrooveSquid.com (original content)	Low Difficulty Summary Low Difficulty Summary: This paper is about how artificial intelligence (AI) can work better with human brains to solve problems. It talks about a new way of using AI models called Large Pre-trained Models that are really good at learning patterns in data. The study shows how these models can help humans and AI work together better, making decisions and solving problems more effectively. It also talks about the ethical considerations and potential uses of this collaboration in different areas like business and society.