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Data Week | Unbiased AI: Detecting Unfairness In Data | May 21

Gideon Onyewuenyi Photo

AI Engineer, Pyloop
Rajdeep Biswas Photo

Lead Cloud Solutions Architect, Microsoft
Data Week | Unbiased AI: Detecting Unfairness In Data
Friday, 21 May, 2021
2 3 pm EDT
Cincinnati (Online)
Free


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Data Week | Unbiased AI: Detecting Unfairness In Data | May 21

Gideon Onyewuenyi Photo

AI Engineer, Pyloop
Rajdeep Biswas Photo

Lead Cloud Solutions Architect, Microsoft

About This Event

This session is part of GA's Data Week, a weeklong festival of free workshops, speaker sessions and panel discussions around leveraging data to drive business decisions, productivity and career growth. Check out the full schedule here!

Inevitably technology reflects its creators in countless ways. AI systems are made up of machine learning algorithms, which are trained with input data. The decisions that AI systems make are entirely based on the data used to train them. AI is kind of like a black box, being dependent on the data it derives its insights from. So where is this data coming from? How can this black box have such an effect on our lives? From getting a job to even car insurance rates...

Join us as we uncover the unfairness that exists in data, in return creating biased algorithms.

Takeaways

You'll be able to:

  • Discover how AI will affect the future of work
  • Learn different ways to combat unconscious bias
  • Find out the role humans play in biased algorithms

Preparation

None needed!

About the Instructor

Gideon Onyewuenyi Photo

AI Engineer, Pyloop

Gideon Onyewuenyi is an AI Engineer, he is the co-founder of Pyloop and the lead at AI Saturdays Port Harcourt.

Rajdeep Biswas Photo

Lead Cloud Solutions Architect, Microsoft

Rajdeep is a Lead Cloud Solutions Architect at Microsoft focused on the design and implementation of large-scale Big Data, Advanced Analytics, Business Intelligence, and Machine Learning problems. Starting his career as a consultant in Apple iCloud reporting team, Rajdeep has been working in the world of Data and Distributed Computing for the past 15 years.

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