Chapter 2 - AI

Concepts : be able to explain these topics or provide answers to each of these questions.

• What is the origin and evolution of artificial intelligence?

• What applications and systems leverage AI?

• What considerations do we need to make regarding privacy, security, and ethics when using AI personally and for business?

  • Has capabilities beyond human function, can handle tons of information and make decisions much faster but is limited in accuracy and true understanding (can have errors/bias, lack of interpersonal connection)

  • Data privacy - information is stored, be careful with what is put in

  • Data Security - can get information out that shouldn't be, false-positives, copyright issues, harmful representations

  • Ethical use - be open about how AI is used

Key terms : understand the meaning of each of these terms

• Artificial intelligence (AI)

  • Narrow AI - designed to perform a specific task

  • General AI - can perform wide variety of tasks (more than humans)

• Machine learning (ML)

  • Machines are fed data and are able to connect patterns and make predictions and decisions (like TikTok, Amazon, Spotify)

• Neural Network

  • Type of machine learning model inspired by structure of human brain

  • Deep learning - many layered neural network for more sophisticated pattern recognition (natural language processing)

• Large language models (LLM)

• False positives (AI hallucinations)

  • AI can give wrong responses