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1
Introduction
2
About Driven Data
3
Agenda
4
Definition
5
Ethics is hard
6
Why does data ethics matter
7
The problem with data ethics
8
An ethics checklist
9
Checklist Sections
10
Checklist Examples
11
Data Collection
12
Data Storage
13
Analysis
14
Modeling
15
Conclusion
16
Questions
17
Resources
Description:
Explore actionable ethics for data scientists in this 39-minute conference talk by Emily Miller, a Data Scientist at DrivenData. Gain insights into the importance of data ethics, understand the challenges faced in the field, and learn how to implement an ethics checklist in your data science projects. Discover practical examples and best practices for ethical considerations in data collection, storage, analysis, and modeling. Equip yourself with valuable resources and tools to navigate the complex landscape of data ethics and maximize the positive impact of your work in the data science industry.

Actionable Ethics for Data Scientists - Emily Miller

Open Data Science
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