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Danielle Jiang

Assistant Director
Monetary Authority of Singapore
Picture
 
Danielle is promoting the adoption of responsible AI and data analytics in the financial sector, at the Monetary Authority of Singapore (MAS). Her career vision is to transform the financial industry by the power of data and technology. Upon graduation with double honours degrees in quantitative finance and business administration from National University of Singapore, Danielle started her career as a quant, building risk management systems for banks and asset management companies. In 2015, she built a quantitative investment strategy of ETF portfolios for Smartly.sg, one of the pioneering robo advisors in Singapore. She joined MAS in 2017 to start a couple of supervisory technology projects, including Project Apollo which captures stock market manipulation using machine learning. Danielle is now leading the Finance, AI and Marketplace (FINAiM) initiative to establish a vibrant AI ecosystem and community. The AI community works together to identify the potential and challenge of using AI in financial services.

Technical Vision Talk: Assessing Fairness of AI Systems in Financial Service
In this talk Danielle will touch on the following points
 - Why we need AI systems to be responsible.
 - “FEAT” Principle and Project Veritas - Fairness Ethics Accountability and Transparency
 - Assessing Fairness of AI based credit lending system, how it is done both technically and practically.


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  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • WiDS Regional Events 2023
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Resources >
      • Datathon Press Release
    • WiDS Datathon Workshops 2023
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Next Gen >
      • Next Gen Resources
      • Next Gen Committee