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Digital Citizenship & Ethics

A-Level Digital Literacy & Safety · Ages 16–18

Think critically about algorithms, data ethics and AI, and build a professional, authentic digital identity.

Name: Date:

Algorithms & Bias

🦜 Rosie: "Feeds are curated by algorithms optimising for engagement — not truth or balance." Reflect on your own feed.

What my feed seems to push most:

A viewpoint my feed rarely shows me:

One way I'll diversify my sources:

🦔 Gary: "Just because data can be collected doesn't mean it should be." Weigh a real trade-off.

A service I use that trades data for convenience:

What I gain

What I give up

🦎 Elvis: "AI can help or mislead. Use it honestly." Where's the ethical line for you?

Brainstorming ✅

Explaining a concept ✅

Passing off AI work as mine ❌

Creating fake images of people ❌

My personal rule for using AI in study/work:

🦜 Rosie: "Curate a presence that opens doors." Plan your professional footprint.

A platform to build (portfolio, LinkedIn, GitHub, etc.):

One thing I'll showcase:

Anything to make private/clean up:

🦔 Gary: "Interrogate before you amplify." Apply a quick framework to a piece of content.

Source & motive:

Evidence & corroboration:

Verdict — share, question or discard?

🏅

Excellent work, !

You analysed algorithms and bias, weighed data ethics, set AI boundaries, planned a professional identity and evaluated media critically. 💚

Signed by Rosie 🦜, Gary 🦔 and Elvis 🦎 · Date: