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Proof of Claim (PoC): A human-in-the-loop AI based solution for semantic information integrity

声明证明 (PoC)：基于人机循环人工智能的语义信息完整性解决方案

基本信息

批准号：
105365
负责人：
金额：
$ 1.65万
依托单位：
UNIVERSITY OF KENT
依托单位国家：
英国
项目类别：
Feasibility Studies
财政年份：
2019
资助国家：
英国
起止时间：
2019 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=105365
关键词：
Proof Claim PoC human loop

项目摘要

This project aims at providing an innovative solution to the grand challenge we are facing in many application areas of our modern society: how to detect false information that can have negative social impacts -- fake news and online frauds as two typical examples. Another side of the challenge is how to protect true information from honest people and organisations, who are often negatively impacted by false information provided by other people and organisations such as dishonest competitors, biased or incapable news reporters, fraudsters, and criminals. This problem is not new, but so far we are not winning the fight against false information, e.g., fake news and online frauds remain biggest challenges our society is suffering from. The project addresses the problem by introducing a new theoretical concept called "Proof of Claim" and apply the human-in-the-loop AI technologies to design a new technical framework that can protect true information and detect false information more effectively. It does not only depend on technologies, but also has an embedded mechanism to engage with and incentivise human users who are information consumers and beneficiaries of the proposed framework. It allows humans and machines to work seamlessly together to overcome problems existing solutions have.

该项目旨在为我们在现代社会的许多应用领域面临的巨大挑战提供创新的解决方案：如何检测可能产生负面社会影响的虚假信息——假新闻和网络欺诈就是两个典型的例子。挑战的另一面是如何保护诚实的人和组织获得真实信息，他们经常受到其他人和组织提供的虚假信息的负面影响，例如不诚实的竞争对手、有偏见或无能力的新闻记者、欺诈者和犯罪分子。这个问题并不新鲜，但到目前为止，我们尚未赢得打击虚假信息的斗争，例如假新闻和网络欺诈仍然是我们社会面临的最大挑战。该项目通过引入一种名为“Proof of Claim”的新理论概念来解决这个问题，并应用人机交互的人工智能技术来设计一种新的技术框架，可以更有效地保护真实信息并检测虚假信息。它不仅依赖于技术，而且还具有一个嵌入式机制来吸引和激励人类用户，这些用户是信息消费者和拟议框架的受益者。它允许人类和机器无缝地协同工作，以克服现有解决方案所存在的问题。