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We introduce the subject of data in analytics and AI and discuss options for sourcing data.
[PDF] [PPTx] [Audio] [Video] [Transcript]
What is there in the world? This is an important question if we're going to measure it. This presentation looks at the types of data used in AI and analytics.
[PDF] [PPTx] [Audio] [Video] [Transcript]
Data is useful only after it has been managed and organized. This presentations looks at the steps involved in data cleaning, labeling and classification.
[PDF] [PPTx] [Audio] [Video] [Transcript]
The fourth video in our short series on data, this video looks at merging and mixing data, addressing sources of bias in data, and issues related to data risks and ownership of data.
[PDF] [PPTx] [Audio] [Video] [Transcript]Links
#Ethics21 Week 7 Takeaways
In the #ethics21 MOOC, some important thoughts were really carried through. This made the limitation of AI much clearer for me. Continue reading ...
RSS: https://ethics.mooc.ca/course_newsletter.xml
- Course Outline
- Course Newsletter
- Activity Centre
- -1. Getting Ready
- 1. Introduction
- 2. Applications of Learning Analytics
- 3. Ethical Issues in Learning Analytics
- 4. Ethical Codes
- 5. Approaches to Ethics
- 6. The Duty of Care
- 7. The Decisions We Make
- 8. Ethical Practices in Learning Analytics
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