Impact of Computing
What this unit covers
The topics below follow the published CS Principles course framework for Unit 5. This unit is worth 21–26% of the exam, so budget your time against that rather than against how long the unit takes to teach.
Lessons in this unit
- The Digital Divide12 min · 3 objectivesDefine the digital divide and identify the factors that cause it · Explain how unequal access affects opportunity and participation · Recognize the difference between individual and societal impacts
- Bias in Computing Systems12 min · 3 objectivesExplain how bias can be embedded in algorithms and their training data · Describe real consequences of biased automated decisions · Identify ways bias can be detected and reduced
- Cybersecurity13 min · 3 objectivesIdentify common cyber threats such as phishing and malware · Explain how encryption and authentication protect data · Apply good security practices like strong, unique passwords and multifactor authentication
- Legal & Ethical Concerns12 min · 3 objectivesExplain intellectual property, copyright, and open-source licensing · Distinguish legal from ethical questions in computing · Describe privacy trade-offs of collecting and combining personal data
Formulas in Unit 5
Every term in Unit 5
All 44 terms we publish for Impact of Computing, with definitions. Reading them through is the fastest way to find the ones you cannot define — then drill those in cram mode until you can produce them without the prompt.
- Digital divide
- Unequal access to computing between groups, by income, geography, age, education or disability. It concerns access, quality of access, and the skills to use it.
- Phishing
- A cyber attack where an attacker sends a fraudulent message designed to trick a person into revealing sensitive info or deploying malicious software.
- Citizen Science
- Scientific research conducted, in whole or in part, by distributed individuals (the public), often using the internet to crowdsource data collection.
- Creative Commons
- A set of licenses letting creators grant specific reuse rights while keeping copyright. It replaces "all rights reserved" with terms chosen by the creator.
- Beneficial and harmful effects
- Every innovation has both, and the same feature is often the source of each. Exam answers that name only one side do not earn full credit.
- Unintended consequence
- An effect the designers did not anticipate. Not necessarily negative — but the examinable point is that effects were not all foreseen.
- Causes of the digital divide
- Infrastructure cost in rural areas, device and service affordability, differing education, and disability barriers. It exists between countries and within them.
- Consequences of the digital divide
- Those without access are excluded from services, jobs and education increasingly assumed to be online, and are underrepresented in the data used to build those systems.
- Computing bias
- Bias embedded in a program, from biased training data, from designers' assumptions, or from what the system was optimized for. It can exist without anyone intending it.
- Why bias persists after deployment
- Systems trained on past outcomes reproduce the patterns in those outcomes, and their decisions then generate the next round of data. The loop reinforces itself.
- Crowdsourcing
- Obtaining input or contributions from a large group, usually online. Enables projects no single organization could fund, and inherits the biases of whoever chose to take part.
- Open source
- Software whose source code is freely available for use and modification, usually under a license setting conditions. Free to read is not the same as free of obligations.
- Open access
- Research published without cost or access barriers to the reader.
- Copyright
- The legal right of a creator to control copying and distribution of their work. It applies automatically on creation, without registration.
- Intellectual property in code
- Programs are creative works and are copyrighted. Reusing code requires a license or permission, and always requires acknowledgement on the Create task.
- Digital divide vs computing bias
- The digital divide is about who can use a technology. Computing bias is about how the technology treats those who do. A question naming access is asking about the former.
- Personally identifiable information
- Information that identifies an individual — name, address, government ID, biometrics, and combinations that identify when taken together.
- How PII is collected
- Directly through forms, and indirectly through search history, location services, purchases, cookies and metadata. The indirect route is the one students underestimate.
- Benefits and risks of PII
- It enables personalization, convenience and safety features. It also enables identity theft, surveillance and discrimination — and once released, it cannot be recalled.
- Digital footprint
- The record of a person's online activity, including data they did not knowingly provide. It is durable and searchable.
- Cookie
- A small file a website stores on your device to remember state across visits. Useful for staying logged in, and a tracking mechanism across sites.
- Encryption
- Transforming data so only authorized parties can read it. The general defense for data in transit and at rest.
- Symmetric encryption
- The same key encrypts and decrypts. Fast, but the key must be shared securely first — which is the hard part.
- Asymmetric (public key) encryption
- A public key encrypts and a mathematically related private key decrypts. Lets strangers exchange secure messages without sharing a secret in advance.
- Why public key encryption solved key exchange
- The encrypting key can be published openly, so no secret needs to travel. Only the private key, which never moves, can decrypt.
- Digital certificate
- A file issued by a certificate authority verifying that a public key belongs to a particular organization. What makes a padlock in a browser mean something.
- Multifactor authentication
- Requiring two or more of: something you know, something you have, something you are. A stolen password alone is then not enough.
- Strong password
- Long, unique to one account, and not derived from personal information. Length matters more than symbol substitution.
- Malware
- Software intended to damage or gain unauthorized access to a system. An umbrella term covering viruses, worms, ransomware and spyware.
- Virus
- Malware that attaches to a program or file and spreads when that file is run or shared.
- Keylogger
- Software recording keystrokes to capture passwords and other typed data. Encryption of traffic does not protect against it, because it reads input before encryption.
- Rogue access point
- A wireless access point installed on a network without authorization, letting an attacker intercept traffic passing through it.
- Computer virus vs worm
- A virus needs a host file and user action to spread. A worm spreads by itself across a network. The distinction is examinable.
- Targeted advertising
- Advertising selected using collected data about a person. Funds free services, and depends on surveillance most users have not examined.
- Machine learning and data
- Systems that find patterns in large datasets rather than following explicit rules. Their behavior is determined by the training data, which is why data bias becomes system bias.
- Legal vs ethical
- Legality is what the law permits; ethics is what is right. CSP expects you to notice that a practice can be legal and still harmful.
- Safe computing practices
- Keep software updated, use unique strong passwords with multifactor authentication, verify senders before acting, and be deliberate about what you share.
- Innovation with dual effects
- Choose one concrete innovation and name a specific benefit and a specific harm, each with who is affected. Generic answers about "society" do not score.
- Data and privacy trade-off
- Services improve with more data about you, and each additional piece of data increases what a breach or misuse can expose. The trade-off has no universally right answer, and saying so with reasons is what earns credit.
- Computing and employment
- Automation removes some jobs, creates others, and changes most. The examinable point is that the gains and losses fall on different people.
- Global collaboration through computing
- Networks let people contribute across distance and time zones — open source, shared datasets, distributed research. Access to those tools is not evenly distributed, which links back to the digital divide.
- Censorship and access
- Governments and platforms can restrict what information reaches whom. A computing question about access to information is usually asking about this.
- Aggregation as a privacy risk
- Individually harmless pieces of data can identify a person when combined. Anonymized data is often re-identifiable by cross-referencing another dataset.
- Why "I have nothing to hide" is not the exam answer
- Privacy harms are about aggregation, future use, breach and asymmetry of power — not only about concealing wrongdoing. Answers are scored on naming a concrete mechanism of harm.
What examiners penalize here
- When a scenario assumes "everyone has access," look for a **digital divide** harm. Effective answers name a cause (cost, rural infrastructure) and a societal impact (widened opportunity gap), often with a mitigation.
- Two exam essentials on bias: (1) bias often comes from the **data** a system was trained on, and (2) it must be **tested and audited** for — it does not disappear because a computer made the decision.
- Match each defense to its job: **encryption** protects data confidentiality in transit and storage; **authentication/MFA** verifies identity. Phishing and malware are threats; strong unique passwords and MFA are the everyday defenses.
- Beware of **data aggregation**: combining separate, innocuous pieces of personal data can reveal private facts and re-identify people. And remember that "legal" never automatically means "ethical" — the exam rewards recognizing both dimensions.
Practice CS Principles
Our practice bank is drawn from across the whole course rather than filtered to one unit, which is closer to how the exam asks anyway — it will not tell you which unit a question is testing.
Questions about this unit
How much of the AP Computer Science Principles exam is Unit 5?
Unit 5, Impact of Computing, is worth 21–26% of the CS Principles multiple-choice section according to the published course framework. Across all 5 units that makes it one of the heaviest units on the exam, and worth front-loading.
What topics are covered in CS Principles Unit 5?
Impact of Computing covers Digital divide, Bias, Cybersecurity and Legal & ethical. We publish 44 terms with definitions for this unit, all of them on this page.
How should I study CS Principles Unit 5?
Read the 4 lessons below first — about 50 minutes — then drill the 44 terms in cram mode until you can produce each definition from memory rather than just recognize it. Recognition is what makes a unit feel finished when it is not. Finish with practice questions and read the explanation for every one you get right by elimination as well as the ones you miss.
All 5 units of AP Computer Science Principles
Unit names, topics and exam weights follow the published College Board course framework for AP Computer Science Principles. AP® is a trademark registered by the College Board, which does not endorse this site.