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

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-假新闻和在线欺诈是两个典型的例子。挑战的另一面是如何保护诚实的人和组织的真实信息，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，有偏见或无能的新闻记者，欺诈者和罪犯。这个问题并不新鲜，但到目前为止，我们还没有赢得与虚假信息的斗争，例如，假新闻和网络欺诈仍然是我们社会面临的最大挑战。该项目通过引入一个名为“索赔证明”的新理论概念来解决这个问题，并应用人工智能技术来设计一个新的技术框架，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，而且还具有一种嵌入式机制，可以与作为信息消费者和拟议框架受益者的人类用户进行互动并激励他们。它允许人类和机器无缝地协同工作，以克服现有解决方案存在的问题。

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.