Reimagining Trust in AI | Jiaying Wu | TEDxColumbiaUniversity

We have seen AI technologies across the globe and every walk of our daily life. It is the science of making machines behave like intelligent human beings. It improves decision-making. It automates the ineffable. Yet nowadays, as AI is often overhyped and misinterpreted, disruptive AI technologies seem to disrupt trust as well. It is time to revisit our perception regarding trustworthy AI. What do we really need to know about AI? How could we build trust with AI? Who is responsible? Learn more about building trust in AI like we build trust in humans as Wu shares insider views regarding the role of AI and progressing AI with collective human intelligence.

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#ArtificialIntelligence #AI #MachineLearning #ML #DataScience #TrustAI #TrustworthyAI #TrustML #DeepLearning #BigData #DataScientist #JiayingWu —About the Speaker: Jiaying Wu is a Data Scientist at Deloitte Consulting, a reliable-AI advocator, a Columbia University alumna, and a career mentor. She is passionate about how scientific reasoning and business reasoning converge to drive decisions. She bridges the gap between the technical side and the business side by bringing a unique combination of decision intelligence expertise, marketing management experience, and cross-cultural communication skills.

After completed her Master of Science degree in Applied Analytics at Columbia University in 2019, Jiaying Wu joined the Decisioning Team of HUX (Human Experience) at Deloitte Consulting as a Data Scientist. She focuses on leveraging machine learning and data analytics to answer core business questions such as customer lifetime value, targeting, returns, etc. She also works on accelerating data science efficiency by building up automated machine learning pipelines. | This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx