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KwickClips Artificial Intelligence

Artificial Intelligence: 203 short revision clips

One idea per clip, with the answer written out underneath. Each clip links back to the full Artificial Intelligence lesson it came from.

Table comparing human and machine: learns from experience vs data, senses with eyes vs camera, feelings yes vs no.What does a machine learn from?41 secTimeline: 1980s rule systems, 1997 Deep Blue wins, 2012 deep learning.Who wrote the logic in old AI?44 secTable of three types of AI: narrow exists, general not yet, super only an idea.Which type of AI exists today?44 secExamples of AI around you: maps, video apps and voice assistants.How does AI pick your next video?43 secThree nested circles: AI outside, machine learning in the middle, deep learning inside.Are AI and machine learning the same?42 secTable of umbrella sales: May 20, June 180, July 250.What kind of data does Data Science use?42 secSteps of face unlock: image as pixels, learning face shapes, matching the saved face.What is a digital image made of?40 secThree steps of a voice assistant: speech to text, meaning understood, reply spoken.What does NLP stand for?41 secList of three AI games: Rock Paper Scissors, Emoji Scavenger Hunt, Mystery Animal.Which game is for Computer Vision?42 secChain: data plus algorithm gives training, training gives a model, model gives predictions.What does training produce?42 secTable of AI benefits: speed with scans, 24x7 bank chatbot, big data for weather.Why can a bank chatbot answer at midnight?40 secTable of AI limitations: bias in a hiring tool, wrong chatbot facts, failure on new cases.Why was the hiring tool unfair?43 secThree reasons AI is not magic: learns from data, uses maths, humans build and check it.Is an AI prediction always right?40 secThree reasons for AI skill demand: data everywhere, automation, few experts.Will AI only take jobs away?42 secTable of AI roles: data analyst, ML engineer, data annotator and what each does.Is every AI job about coding?41 secStarter kit table: maths statistics, Python coding, spreadsheet charts.What should you learn first?41 secTable of AI in four industries: healthcare, finance, farming, education.Is AI only for tech companies?44 secCycle diagram of five AI project stages looping back.Why is it called a cycle?43 secList of the five stages with one job each.Which stage finds patterns?44 secTable walking canteen food waste through scoping, data, model and evaluation.What data is collected?41 secDeployment steps: after evaluation, real use, monitor and improve.When do we deploy?40 secFilled 4Ws canvas for a canteen queue.When do we fill the canvas?48 sec5W1H pairs: who what, when where, why how, with meanings.What do When and Where ask about?41 secProblem statement template with who, what, where and why blanks.What does the template join?39 secTable of stakeholders and goals: students, canteen staff, parents.Who is a stakeholder?42 secTable: primary data by you, class survey; secondary data by someone else, census report.Is a census report primary or secondary data?38 secTable of three data types with examples: marks sheet, photo and audio, email and JSON.Is a photo data?43 secDataset rows with hours, attendance and result Pass or Fail.What are features?39 secPoints on system maps, consent and collecting only needed data.Can you collect any data you want?41 secThree reasons to explore data: wrong values, patterns, outliers.Should you build the model first?41 secTable matching questions to charts: bar, line, pie.Which chart shows change over time?38 secSamosa sales table: Mon 40, Tue 42, Wed 120, Thu 45.What is a pattern?39 secCanteen dashboard parts: big number total, line chart trend, bar chart best seller.What is a dashboard?39 secThree if-then rules for spam SMS.Who writes the rules?39 secSteps of a learning-based model: labelled examples, patterns, predictions.Can AI decide without rules?41 secTable of when rule-based and learning models work and fail.When should you use rules?40 secTeachable Machine steps: classes Pen and Pencil, webcam photos, Train Model.Do you need code for Teachable Machine?42 sec2 by 2 grid of true positive, false positive, false negative and true negative.How many possible results are there?38 secDengue test table of four outcomes with prediction and reality.AI says sick, but you are healthy. What is it?43 secTable: false positive leads to extra test, false negative leads to no treatment.In a disease test, which mistake is worse?40 secTable of four patients with prediction, reality and TP, FP, FN, TN.Healthy predicted, sick in reality?40 secConfusion matrix for 100 emails: TP 30, FP 10, FN 20, TN 40.Why is it called a confusion matrix?38 secTable of accuracy, precision, recall and F1 with fractions and decimals.What is the F1 formula?43 secTable matching problems to metrics: disease test recall, spam filter precision, fraud F1.Can a 99% accurate model be useless?42 secPoints: errors of 2 give MSE 4 and RMSE 2; train, validate, test.Is a lower MSE better?41 secPoints on deployment: last stage, tested model in real use, real users and data.Is the job done when the model works on your laptop?40 secFour steps from model file to released app.What is the first step?38 secMonitoring points: real data changes, accuracy drops, retrain with new data.Can we forget an AI after launch?38 sec

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