Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era

Dong Zhang
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Abstract

With various AI tools such as ChatGPT becoming increasingly convenient and popular, we are entering a true AI era. We can foresee that exceptional AI tools will soon reap considerable profits. A crucial question arise: should AI tools share revenue with their training data providers in additional to traditional stakeholders and shareholders? The answer is Yes. Large AI tools, such as large language models, always require more and better quality data to continuously improve, but current copyright laws limit their access to various types of data. Sharing revenue between AI tools and their data providers could transform the current hostile zero-sum game relationship between AI tools and a majority of copyrighted data owners into a collaborative and mutually beneficial one, which is necessary to facilitate the development of a virtuous cycle among AI tools, their users and data providers that drives forward AI technology and builds a healthy AI ecosystem. However, current revenue-sharing business models do not work for AI tools in the forthcoming AI era, since the most widely used metrics for website-based traffic and action, such as clicks, will be replaced by new metrics such as prompts and cost per prompt for generative AI tools. Therefore, a completely new revenue-sharing business model must be established. This new business model, which must be independent of AI tools and be easily explained to data providers, needs to establish a prompt-based scoring system to measure data engagement of each data provider. This paper systematically discusses how to build such a scoring system for all data providers for AI tools based on classification and content similarity models, and outlines the requirements for AI tools or third parties to build it. AI tools can share revenue with data providers using such a scoring system, which would encourage more data owners to participate in the revenuesharing program. This will be a utilitarian AI era where all parties benefit.
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ChatGPT和Bard是否应该与其数据提供商分享收入?人工智能时代的新商业模式
随着ChatGPT等各种人工智能工具变得越来越方便和流行,我们正在进入一个真正的人工智能时代。我们可以预见,卓越的人工智能工具将很快获得可观的利润。一个关键的问题出现了:除了传统的利益相关者和股东之外,人工智能工具是否应该与其培训数据提供商分享收入?答案是肯定的。大型人工智能工具,如大型语言模型,总是需要更多、更高质量的数据来不断改进,但目前的版权法限制了它们对各种类型数据的访问。人工智能工具和数据提供商之间的收入共享可以将人工智能工具和大多数版权数据所有者之间敌对的零和游戏关系转变为协作和互利的关系,这对于促进人工智能工具、用户和数据提供商之间的良性循环发展是必要的,从而推动人工智能技术的发展,建立健康的人工智能生态系统。然而,在即将到来的人工智能时代,目前的收入分成商业模式不适用于人工智能工具,因为最广泛使用的基于网站的流量和行为指标(如点击)将被新指标(如生成人工智能工具的提示和每提示成本)所取代。因此,必须建立一种全新的收益共享商业模式。这种新的商业模式必须独立于人工智能工具,并易于向数据提供者解释,需要建立一个基于提示的评分系统来衡量每个数据提供者的数据参与度。本文系统地讨论了如何基于分类和内容相似度模型为AI工具的所有数据提供者构建这样一个评分系统,并概述了AI工具或第三方构建该评分系统的要求。人工智能工具可以使用这样的评分系统与数据提供商分享收入,这将鼓励更多的数据所有者参与收入共享计划。这将是一个功利的人工智能时代,各方都将受益。
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