FTW Really Wondering
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The FAIC is a new initiative building on UNSW's strength in digital innovation technologies and AI applications and is driven by the Engineering and Business faculties.
by Eric Lim
"In a world increasingly defined by digital innovation, blockchain is playing an important role in solving real-world housing problems through asset tokenisation
Blockchain technology has well and truly disrupted the established world of financial services. Cryptocurrencies – arguably the most well-known digital assets in the blockchain economy, for example, have evolved over the past decade and now command a total market capitalisation of almost US$1.2 trillion in August 2023.
The blockchain economy is also witnessing a convergence with more traditional stores of value. The marriage of digital cryptocurrencies with hard assets such as real estate, for example, opens up new possibilities around liquidity, accessibility and security for investors. And rapid growth in real estate asset tokenisation demonstrates the benefits of merging illiquid assets with liquid real estate ownership.
Through tokenisation, properties can be fractionally divided into tradable digital assets, enabling smaller investors to participate in real estate ventures that might have been historically restricted to more affluent investors. Moreover, the inherent transparency and immutability of blockchain smart contracts have fostered trust and efficiency in property transactions, reducing the need for intermediaries and expediting property transfers across borders."
FAIC supports research projects that apply several state-of-the-art innovations in the FinTech sector. These projects involve relevant research teams that investigate new methods and techniques for building and managing AI Systems. Examples of such innovations include:
New software development practices and modelling approaches for AI systems.
New ways of working for multidisciplinary teams that involve domain, analytics and technology experts.
Leveraging new cloud-based infrastructures.
New ways of modelling knowledge for the purpose of sharing.
New ways of acquiring and managing large amounts of data.
New ways of incorporating explainability, trust and responsibility in relation to AI systems.
Projects will either (1) address important problems from industry partners in the form of research use cases or (2) investigate innovative platforms and tools offered by technology partners that can be included in future projects.
