Lecture 10 - Knowledge Representation - The Ethics of AI

Knowledge Representation

Ontological engineering

General-purpose vs special-purpose ontology

Creating general-purpose ontology

Categories and objects

Representation of categories and inheritance

Taxonomy - taxonomic hierarchy

First order logic and categories

Natural kinds

Relations between categories

Composition

Measurements

Event calculus

Time

Mental Objects

Semantic networks

Frames

Description logics (DL)

Truth maintainance systems (TMS)

The Ethics of AI

Positive side of AI

Principles of Robotics

Privacy and Privacy protection methods

Security

Fairness and bias

Trust and transperancy

AI Safety