Honing ethics by design

AI Ethics

Joe Franklin

Associate Data Literacy and Essentials Manager, DataCamp

Deceptively simple

  • AI Ethics by Design: Consider ethical ramifications of AI in advance

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AI Ethics

The big ones

  • Define objectives
  • Align with stakeholders
  • Collect and manage data
  • Design transparently
  • Evaluate bias
  • Address concerns
  • Review and iterate

An image showing a robot standing next to a check list.

AI Ethics

Defining objectives

A robot planning their journey.

AI Ethics

The gangs all here

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AI Ethics

The right data in the right place

 

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AI Ethics

Transparency in design

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AI Ethics

The end is only the beginning

 

An illustration of people raising concerns about AI during a meeting.

AI Ethics

It's a wonderful world out there

 

Introduction to Data Ethics by Shalini Kurapati

Explore the intersection of ethics and data. Learn valuable skills to collect and manage data ethically.

 

Forming Analytical Questions by Konstantinos Kattidis

Discover how to ask a good question and connect with stakeholders to drive change with analytics.

AI Ethics

Thank you!

AI Ethics

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