Understanding Artificial Intelligence: A General Overview

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Artificial Intelligence (AI) is a fancy term for statistical modeling, with two main types: unsupervised learning to spot patterns and supervised learning to predict the future. AI democratization is changing the landscape by making AI more accessible, leading to both new opportunities and challenges like bias, deep fakes, and ethical concerns. Different models like GPT4 are being used in various applications like search engine optimization and smart contracts. The rise of AI brings both excitement and concerns to the forefront.


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  1. Sensitivity: General What is AI?

  2. Sensitivity: General What is Artificial Intelligence? A fancy name for statistical modelling We all already use AI every day There are two types of AI model: Pattern spotters (unsupervised learning models) Future predictors (supervised learning models)

  3. Sensitivity: General Unsupervised Learning - Looking for patterns

  4. Sensitivity: General Supervised Learning - Predicting the future

  5. Sensitivity: General GPT (Other models are available)

  6. Sensitivity: General GPT (Other models are available) Combination of lots of different models Proprietary so we don t know exactly Most recent iteration is GPT4 Two access routes: Web interface (ChatGPT) API

  7. Sensitivity: General The Step Change Democratisation of AI No longer need dedicated expertise and data to build fundamental models Boom in services based on these models: Search engine optimisation Client onboarding Smart contracts Etc

  8. Sensitivity: General Democratisation of AI Exaggerates existing opportunities and threats of AI and machine learning Enables new and innovative solutions/products Automation Speed Accuracy Garbage in Garbage out Bias Difficult to interrogate Poor general understanding Computer says no No generally accepted ethics or regulation Deep fakes Both incredibly scary and incredibly exciting Credit: Generated by AI

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