Data, algorithms and digital power
| English | 中文 | Pinyin |
|---|---|---|
| algorithm/ˈælɡərɪθəm/ | 算法 | suàn fǎ |
| digital footprint/ˈdɪdʒɪtl ˈfʊtprɪnt/ | 数字足迹 | shù zì zú jì |
A decision you can investigate
- A school app recommends study groups using attendance and quiz records.
- A useful prediction may still expose information or reproduce unequal opportunities.
Build the explanation
- Data are recorded values; information gives them meaning in a context. An algorithm 算法 specifies a process for producing outputs.
- Ask who supplies data, who chooses the objective, who can challenge a decision and who is excluded.
Match the terms to their precise meanings.
Use these definitions in the particular context of Data, algorithms and digital power.
Work through the evidence
- A missing quiz can mean absence, connection failure or refusal to participate. Treating every missing value as low ability changes recommendations.
- Investigate missing-data rules and compare outcomes across users before describing the system as fair.
Why is replacing every missing quiz with zero risky?
A missing quiz can mean absence, connection failure or refusal to participate. Treating every missing value as low ability changes recommendations. Investigate missing-data rules and compare outcomes across users before describing the system as fair.
Test the limits
- A prediction does not establish a cause. High average accuracy can conceal unequal errors across groups.
- Explain the specific harm and stakeholder rather than merely writing privacy is important.
Which caution belongs to this particular task?
A prediction does not establish a cause. High average accuracy can conceal unequal errors across groups. Explain the specific harm and stakeholder rather than merely writing privacy is important.
The explanation in this lesson makes a conditional claim; relevant context and evidence still matter.
Explain the specific harm and stakeholder rather than merely writing privacy is important.
Apply and explain your answer
- Why is replacing every missing quiz with zero risky?
- It treats different causes of missing data as evidence of low ability.
Choose the two statements supported by this lesson.
The concept and worked evidence support these claims; the stated limits rule out the universal shortcut.
Use the terms precisely
- algorithm: A specified process for transforming inputs into outputs.
- digital footprint 数字足迹: Traces left by a person's digital activity.
A missing quiz can mean absence, connection failure or refusal to participate. Treating every missing value as low ability changes recommendations. Investigate missing-data rules and compare outcomes across users before describing the system as fair.
A prediction does not establish a cause. High average accuracy can conceal unequal errors across groups. Explain the specific harm and stakeholder rather than merely writing privacy is important.
Data are recorded values; information gives them meaning in a context. An algorithm specifies a process for producing outputs.