We will examine the essentiality of training AI models on extensive real data and customized synthetic data to detect voice manipulation and AI-generated profile images and social media backgrounds. Additionally, we will assess the efficacy of generative AI compared to conventional fraud detection systems. Furthermore, we will emphasize the importance of promoting expertise and best practices in data sharing across industries, while also addressing data biases that could lead to false positives and potentially discriminatory results, as well considering the complexities of AI explainability.

What is the Future of Money? The common expectation is around the adoption of the emerging technologies so that it can be more digital, real-time, secure, and intelligent.  The initial pilots and experiments on the market have studied various potential forms and use cases.  While it is far from reaching conclusion and consensus, some common principles and directional convergence are increasingly observed. This session will discuss the latest developments on the market, analyse the key findings and design principles, and identify the key trends and opportunities.   It will share some live examples on how Tokenised Deposits, as it is picking up the momentum recently, can potentially bridge the technical advantages with the current prevailing regulatory regime, and may continue to extend its coverage into interoperability and smart transactions.