World Car-Free Day, celebrated annually on 22nd of September, is an initiative that promotes the notion of car-light societies and encourages citizens around the world to rethink their dependence on private cars for transportation. With 20% of the world’s carbon emission currently being transport-related and this number continuing to grow, any step towards better efficiency holds great promise in solving this global challenge.

Can you imagine a world without personalised Spotify playlists, curated social media feeds, or recommended cat videos on the sidebars of YouTube? These modern-day conveniences, which were made possible by artificial intelligence (AI), also present a scary proposition – that the machines could end up knowing more about us than we ourselves do.

Image credit: Lim Zenghao

Above: SMU Lee Kong Chian Professor of Law (Practice) and founding Director of SMU’s Applied Research Centre for Intellectu

Associate Professor Warren Chik from SMU’s School of Law takes a deeper look into consumers’ trust, organisational security, and government regulation as AI becomes an integral tool for the management and processing of data.

The world is playing catchup. Thanks to the pandemic, digital transformation and disruption are running full pelt. But think of that energy as a steel spring that’s being stretched tighter and tighter.

The issue is how to define the concept of data sovereignty, especially when businesses and governments wrestle to enshrine it in law across international and continental borders.

The term “digital transformation” is not new, but a buzzword adopted by businesses, organisations and even educational institutions currently embracing digital tech transformation in the bid to improve their operating processes and systems. In most public and private sector operational policy, digital transformation is considered essential to an organisation’s success today, as it is intended to revolutionise how work gets done and data is applied. 

As the use of artificial intelligence (AI) gains traction across industries today, it is often forgotten that the use of statistical models and algorithms have been around for decades. Credit bureaus, in particular, have long been using these techniques to generate credit scores which are then used by banks to assess an individual’s creditworthiness. The real game-changer therefore, is the introduction of smartphones, social media, geo-localization models and other interconnectivity devices that make new types of data available for use within these models.