Module 2 - Lesson 5: Strong and weak machine intelligence, and classification using logistic regression

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ETHICS

Consider the strengths and limitations of machine intelligence in the Chinese Room Experiment.

John Searle’s Chinese Room Experiment; strong vs weak AI. Intentionality and consciousness.
Example: Facebook Go; Alibaba and Microsoft AI reading test;

CURATION

Determine methods to secure and share data to support requirements for machine intelligence.

Requirements for data to support machine intelligence (cf car vision and snow); methods for securing personal data and individual consent where data are collected autonomously by always-on machines;
Example: UK backlash against centralised patient records; Norway’s hack of patient records; the personal media devices: Alexa, Cortana, Siri, Google …

ANALYSIS

Create data classifiers using logistic regression.

Classification using logistic regression, and modelling probability.

PRESENTATION

Plot classification outcomes for logistic regression using mosaic plots.

Mosaic plots designed to present categorical data.

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CASE STUDY

Leukaemia dataset for classification.