An AI-Powered Dispute Prevention Tool for Construction Projects
39,977
2023-11-01 to 2024-04-30
Collaborative R&D
Our project aims to develop a prototype of an innovative AI-powered dispute prevention tool that utilises natural language processing (NLP) techniques to analyse email communications between various stakeholders involved in construction projects. The tool's primary objective is to detect early warning signs or potential issues within these communications and provide AI-generated replies to de-escalate tensions and foster better collaboration among project participants. By combining AI technology, advanced NLP techniques, and a focus on dispute prevention, our project aims to revolutionise the construction sector by providing an innovative tool that significantly reduces conflicts, enhances project success rates, and fosters stronger collaboration among stakeholders.
Tackling mis-selling and enhancing consumer trust in fintech innovations
137,896
2023-03-01 to 2024-02-29
Collaborative R&D
The project develops an innovative AI-enabled solution to transform how fintech firms promote and market new types of financial products and services to consumers. With novel consumer fintech investment and lending products, the risks of mis-selling can be substantial. In the UK, mis-selling scandals over the past decade have costed firms tens of billions of pounds and considerable reputational damage. Importantly, these scandals have severely undermined consumer trust and put intense pressure on regulators to increase sanctions and impose more onerous rules on firms in the financial services sector.
Our solution adopts a unique approach to enhancing consumers' and regulators' trust in fintech firms' promotion and marketing of new products and services. What makes our solution different to existing regulatory compliance tools is our focus on improving firms' communications of their products and services to consumers. It is the first-of-its-kind to combine a tool for consumer education and research and a platform for firms to evaluate how consumers and regulators may comprehend and respond to the firm's promotions of a product and its attendant risks and benefits.
The project will design and develop a functional prototype of the solution before piloting it with a number of fast-growing consumer fintech firms in the UK. Our project team has domain expertise in financial regulation, fintech, machine learning, marketing, AI innovation and ethics.
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