AI Concept Match & Discovery
AI Terms
Definitions
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Did You Know? AI is used in image recognition, text autocomplete, virtual assistants, and countless other applications you interact with every day.
Search Query Token Challenge
Learn how real-world search engines might break your phrases into “tokens.” In digital marketing or everyday online searches, your query gets dissected into smaller chunks to deliver relevant results. Let’s see if you can guess how some typical queries are tokenized!
1. Query: “Buy cheap tennis shoes”
You want to target this query for an online ad campaign. Which set of tokens would a basic search engine likely use?
Your Score: 0
Why Tokenization Matters
Search engines—and many AI systems—commonly split text by spaces or punctuation. In the real world, these tokens help determine how relevant documents (web pages, ads, or responses) are to your query.
For instance, “weather tomorrow” might route you to a local forecast, while “cheap tennis shoes” surfaces product listings on shopping sites. Understanding tokens also informs how AI models parse and generate language.
Congratulations! You’ve just seen a simplified version of how real-world systems might handle your everyday queries.
Ethics in Action
Explore realistic ethical dilemmas involving Generative AI. Earn badges and points by making responsible choices, and reflect on the outcomes.
Your Ethics Score: 0
Scenario 1: AI & Homework
You have a major essay due tomorrow. You discover a powerful AI tool that can write an entire essay for you within seconds. What would you do?
You chose to use AI for the entire essay.
The essay is excellent, but you haven't learned the material. Your teacher may find out there's AI involvement, and you haven’t cited any sources. There are potential academic honesty issues.
Reflection: Relying fully on AI might yield short-term gains, but it raises ethical red flags and hampers personal growth.
Outcome: You receive a decent grade, but later struggle with concepts you never actually learned. You also risk academic penalty if discovered.
You gain 0 points for ethical decision-making. (No new badges earned.)
You chose to use AI for brainstorming only.
You take the AI-generated ideas, but compose your own essay. You properly cite any sources that AI suggested. This fosters collaboration with technology while maintaining academic integrity.
You gain 50 points for making a balanced choice!
Outcome: You learn the material effectively, produce original work, and credit AI and any references it provided. You set a positive example for ethical AI usage.
Badge Earned: Ethical Explorer!
You chose not to use AI at all.
This ensures there's no risk of plagiarism or dependency on AI. However, you may miss out on helpful tools that could have improved your learning and efficiency, as long as it was used ethically.
You gain 20 points for erring on the side of caution.
Outcome: You stay true to your own work, but potentially miss beneficial AI insights. Balancing ethics with tech adoption is key.
Scenario 2: Encountering Biased Responses
You’re testing an AI chatbot. It makes a recommendation for a job candidate, stating that certain ethnic groups are “less suitable for technical roles.” How do you respond?
You chose to ignore the biased response.
The chatbot continues to make unethical recommendations. Bias remains unchallenged and potentially harms real people.
You gain 0 points. (No new badges.)
Outcome: Bias escalates or persists within the system. Real-world applications might propagate these biases further.
You report the bias and investigate the cause.
You realize the model was trained on skewed data. You collaborate with the dev team to address it. This fosters accountability and transparency.
You earn 80 points for actively countering bias and promoting responsible AI use.
Badge Earned: Bias Buster!
Outcome: The chatbot is improved, mitigating harmful biases. Your leadership sets a standard for ethical AI development.
You stop using the chatbot completely.
While you avoid further exposure to its biased output, you also lose an opportunity to flag and fix the problem. Future users might still encounter it.
You gain 10 points for taking a moral stand, but the bias remains unaddressed in the tool itself.
Outcome: You’re free of biased recommendations, but the tool’s developers remain unaware of the issue.
Reflection
Thinking about your choices and their outcomes, how would you handle similar ethical dilemmas in real life? Why is responsible AI usage important to you, your peers, and society at large?
Prompt Lab: Week 4
Welcome to the Prompt Lab! Practice writing and refining prompts. Each Level introduces new types of prompts (basic, chain-of-thought, multi-step, etc.). Earn higher “Prompt Quality” scores to unlock the next level!
Level 1: Basic Prompts
AI Response:
Week 5: Capstone Tracker & Peer Review
Integrate all your AI & Prompt Engineering knowledge into a final project. Complete each phase (Planning, Prompt Draft, AI Output, Ethical Review) to earn badges, then share your project with peers for feedback and upvotes!
Note: This version does not use local storage. All data is stored in memory only and will be lost when you refresh or leave this page.
Your data is stored only in memory while the page is open.
Phase 1: Planning
Outline your project idea, goals, or any research questions.
Phase 2: Prompt Draft
Write or refine the prompt(s) you plan to use with an AI model.
Phase 3: AI Output
Run your prompt(s) through an AI (mock or real) and store the best output(s) here.
Phase 4: Ethical Review
Reflect on any ethical considerations: data sources, bias, citations, potential misuse, etc.
Final Project & Peer Review
Once all phases are done, click “Share with Peer” to get a shareable snapshot of your project. You can also view and upvote others’ projects below.