Gender Diversity in Technology: The Unconscious Bias in AI
Автор: Malaysia Digital Economy Corporation
Загружено: 2021-08-03
Просмотров: 129
Описание:
Low-biased, ethical, and fair AI systems involve a diverse workforce of humans. As investment in AI competencies increases across industries and countries, there is an urgent need to incorporate diversity in the design of AI systems to guarantee the widespread growth of AI is fair and equitable to all. Hear from this session about biases in AI and how growing diversity in the field of AI can diminish biases and allow for more trustworthy and ethical organizations.
Moderator: Aiza Azreen Ahmad, Chief Digital Business Officer, Malaysia Digital Economy Corporation (MDEC)
Panelist:
Ivana Bartoletti, Technical Director – Privacy, Deloitte & Co-Founder, Women Leading in AI Network, UK
Sunita Kannan, Data & AI Solution Lead - Asia Pacific & Japan, Microsoft, Singapore
Dr Samara Banno, Research Fellow – Statistical Machine Learning & AI and Member of the Steering Group of Women Leading in AI (WLiAI), UK
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