Mr Jason Tamar Widjaja believes in working towards a better world through data. A multi-disciplinary professional, he leads a high performing and quirky data science team in MSD’s Global Data Science Competency. Mr Widjaja’s team specializes in AI, with competencies in Natural Language Processing (NLP), computer vision, machine learning, automation and AI governance and ethics.

Mr Widjaja spent half his career in Australia before relocating back to Singapore in 2016. Since then, he has been active in the local start-up ecosystem, as a co-founder of Lauretta.io with his brother Galvin, and a mentor to AI startups in partnership with local venture capital firms in Singapore.

Mr Widjaja was on the Melbourne Business School Dean’s List for his MBA in 2010 and graduated from the same university with a second master’s in Business Analytics in 2015. He also holds a bachelor’s degree in Computing from the National University of Singapore and a first-class honours degree’ in Business Information Systems and Human Resources Management from Middlesex University.

In his free time, Mr Widjaja enjoys reading, gaming and giving back by advocating for ethical AI and diversity in technology. He is a contributor to Singapore’s AI Governance Framework and a top writer on Quora, with over 1,000 answers in Data Science, Analytics and Artificial Intelligence. 

 Presentation Synopsis 
Responsible AI in Practice

Which decisions should AI take over? Would you know if your AI was producing biased outputs? Is there a better way to get consent compared to just agreeing to the Terms and Conditions? What exactly does ‘augmenting’ my workforce look like? 

Deploying AI technology carelessly could result in adverse consequences in your organizations and cause unintended ripple effects on society. As organizations in virtually every industry adopt AI solutions, how should leaders working with AI ensure that technology serves our purposes? 

Framed around multiple real-life implementations of the PDPC AI governance framework, this talk aims to provide AI practitioners, providers and policymakers with tools and techniques to navigate the complex space of AI ethics and build AI products that are innovative, compliant and effective.