August 2019
Intermediate to advanced
392 pages
14h 11m
English
Content preview from The REGTECH Book
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Forging a Responsibility and Liability Framework in the AI Era for RegTech
By Brian Tang
Founder, ACMI and LITE Lab@HKU
Artificial intelligence (AI), and more precisely machine learning (ML), is now indeed no longer the exclusive domain of science fiction fans and cognitive science researchers at universities or in the military.
Four critical areas have undergone tremendous development, leading to both Fortune and Forbes naming 2017 ‘the year of AI’:1
- Computational power. Parallel computing for ML using graphical processing units (GPUs) originally developed for video games2 has lowered the cost and wattage with increased computational power to dramatically broaden AI application.3 As a corollary, cloud-based ML as a service (MLaaS) is now an important new business model.4
- Data. The lower costs of data storage,5 wireless communication for cloud-connected internet of things (IoT) devices (e.g. voice, text, images, video, biometric), and digitization of paper records6 has resulted in an explosion of structured and unstructured big data that can be processed and analysed for better ML.
- Algorithms. Silicon Valley and other US companies like Google, Facebook, Microsoft, Amazon, and IBM, as well as Chinese tech giants Alibaba, Baidu,7 and Tencent, have been courting AI talent in a manner compared to top US National Football League quarterback prospects,8 even resulting in lawsuits.9
- Infrastructure. Leading software companies offer cognitive services through application programming ...
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