AI is the development of computer systems that can perform tasks that normally require human intelligence—like recognising faces, understanding language, making decisions, or playing games.

How it works:

• Uses algorithms and models to "learn" from data (Machine Learning).

• Neural networks mimic the human brain to help computers make predictions.

• AI can improve over time by training on more data.

Some of the many Applications:

• Virtual assistants (Siri, Alexa)

• Chatbots and customer service tools

• Recommendation engines (Netflix, YouTube)

• Self-driving cars

• AI in healthcare, law enforcement, and education

Impacts:

• AI can increase efficiency, accuracy, and automation in many fields.

• Raises ethical questions: bias in decision-making, job displacement, surveillance, and control.

Problems or Issues:

• Data privacy and how personal data is used.

• Lack of transparency (the “black box” problem—how AI makes decisions isn’t always clear).

• Bias in training data can lead to unfair or harmful results.

• Who is responsible when AI causes harm?

Task 2 - Class discussion

Run through the main points, summerising the content on the CS Field Guide