加强
独创性
忧虑
生成语法
创造力
领域(数学分析)
构思
知识管理
工程伦理学
社会学
计算机科学
人工智能
认知科学
心理学
工程类
认识论
哲学
语言学
社会心理学
认知心理学
数学分析
数学
作者
Tojin Eapen,Daniel J. Finkenstadt,Josh Folk,Lokesh Venkataswamy
出处
期刊:Social Science Research Network
[Social Science Electronic Publishing]
日期:2024-01-01
被引量:27
摘要
The advent of generative AI has sparked apprehension regarding its capacity to replace human workers in many jobs. However, the most significant opportunity for this technology lies in its potential to assist businesses and governments in addressing the challenges associated with democratizing innovation by augmenting human creativity. These challenges include the influx of ideas, the inability of domain experts to embrace novel concepts, the difficulty in refining vague ideas into actionable plans, and the struggle to integrate diverse customer requirements into viable solutions. Generative AI can transform this landscape by fostering divergent thinking, challenging existing biases, aiding in the evaluation of ideas, enhancing the refinement of concepts, and promoting collaborative innovation among employees and customers. Its effectiveness lies not in replacing human ingenuity but in being a powerful collaborator, augmenting collective human creativity.
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