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SPEAKER

DAY 1

The Risks of AI Model Bias: Root Causes and Governance Approach

Bias is an unavoidable feature of life, the result of the necessarily limited view of the world that any single person or group can achieve. But social bias can be reflected and amplified by artificial intelligence in dangerous ways, whether it be in deciding who gets a bank loan or who gets surveilled.

This talk will provide WHAT, WHERE, WHY, and HOW perspectives of AI model’s unfair bias:

  • WHAT is unfair bias from AI(ML, DL and NLP) model?
  • WHERE does unfair bias come from?
  • WHY should we avoid unfair bias?
  • HOW can we mitigate the risk of unfair bias, across AI model’s lifecycle?

Speaker

https://aisummit.co.kr/wp-content/uploads/2020/10/김인준-500x500-1.jpg

In Jun Kim Former)IBM GBS Hong Kong | Sr. Engagement Manager for AI Initiatives

InJun Kim has been spearheading innovative AI projects for global banks and insurers in Korea, Hong Kong, and Singapore. He worked at PwC Consulting and IBM GBS Korea and relocated to IBM GBS Hong Kong.  He is now leading a Singapore bank’s AI-driven transformation program across 19 countries by working with data scientists, machine learning engineers, AI strategists, and ethicists.