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A batch of the best highlights from what Kevin's read, .
I delineate them by the range of changes considered:
**responsible AI** seeks to *make the AI less harmful*,
**ethical AI** *challenges if AI should even be used* in certain applications, and
**just AI** argues that *AI applications must actively challenge oppression* (if this is even possible).
Classification for AI Ethics
@willie_agnew on Twitter
The Meditations Newsletter #015
Alex from Sunsama
A knowledge graph is made up of three main components:
nodes, edges, and labels.
Any *object*, *place*, or *person* can be a **node**.
An **edge** defines the *relationship* between the nodes.
For example,
a node could be a client, like IBM, and an agency like, Ogilvy.
An edge would be categorize the relationship as a customer relationship between IBM and Ogilvy.
A represents the subject, B represents the predicate, C represents the object
What is a knowledge graph?
ibm.com
...catch up on these, and many more highlights
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