Usha
Jagannathan
Principal Engineer at McKinsey & Company
"Applying FEAT in AI for social good"
"Applying FEAT in AI for social good"
07 - 10:30 AM EDT/New York (See in local time)
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04//2024 10:30 AM
04//2024 10:50 AM
America/New_York
#WTGC2024
"Applying FEAT in AI for social good"
#WTGC2024
"Applying FEAT in AI for social good"
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"Applying FEAT in AI for social good"
"Applying FEAT in AI for social good"
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Session: Applying FEAT in AI for social good
"Applying FEAT (Fairness, Ethics, Accountability and Transparency) in AI for building responsible AI products and for social good"- My tech talk is about why adopting an AI governance framework matters at an early intervention when we start to design, architect, and build AI models. From an AI governance standpoint, my topic will focus on why Explainable AI is critical for building responsible AI products. Thus, highlighting the four key principles to put into practice as a governance framework to build and deploy models that are trustworthy, fair, and explainable by design.
Key Takeaways
- • Helps businesses to trust & build AI products with confidence • Helps organizations effectively to oversee & assess their use of AI technology to develop responsible AI products • Benefits AI/ML practitioners, ML engineers, data scientists, & end-users
Bio
Usha Jagannathan is a Principal Engineer at McKinsey, bringing twenty years of digital transformation experience in building new technology ecosystems and empowering teams to create products that meet customer needs. Usha focuses primarily on rapid prototyping, architecting, coaching product development teams, and delivering custom digital solutions on cloud to drive accelerated innovation.Usha is a passionate STEM advocate and works to increase industry diversity through apprenticeship and work-study programs. She has contributed to several engineering articles and spoken in forums hosted by technical organizations including Women Who Code, Girls in Tech, Grace Hopper Women in Computing, and for Gender Equity in Science and Technology.
Usha serves on the Industry Advisory Board for Fulton Schools of Engineering at Arizona State University and on the committee for the AI/ML track for the Grace Hopper Conference event. She received her Bachelors in Electronics, Masters in CS from India and earned her PhD in Technology & E-learning from Arizona.
