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This deck focuses on Ethical Social Issues Around Data Collection, giving you a quick way to review the definitions, rules, and examples that matter most for AP Computer Science a.
Study Ethical Social Issues Around Data Collection in AP Computer Science a with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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Define data transparency.
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Data transparency refers to openness in how data is collected, used, and shared. Builds trust by making data practices visible to users.
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This deck focuses on Ethical Social Issues Around Data Collection, giving you a quick way to review the definitions, rules, and examples that matter most for AP Computer Science a.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: Data transparency refers to openness in how data is collected, used, and shared. Builds trust by making data practices visible to users.
Answer: Balancing innovation with privacy concerns is a challenge in data ethics. Organizations must weigh technological progress against privacy rights.
Answer: A DPO oversees data protection strategy and compliance within an organization. Ensures organizational compliance with data protection regulations.
Answer: Loss of consumer trust is a significant consequence of a data breach. Users lose confidence in organizations that fail to protect their data.
Answer: Data accuracy refers to the correctness and completeness of the data collected. Essential for making reliable decisions and maintaining trust.
Answer: Data profiling is analyzing data attributes to summarize information about it. Helps understand data quality and structure for better analysis.
Answer: Data lifecycle refers to the stages data goes through, from creation to deletion. Maps data journey from initial collection to final disposal.
Answer: Data ownership refers to having legal rights and control over a particular set of data. Establishes who can access, modify, and make decisions about data.
Answer: The digital divide refers to the gap between those with and without access to digital technology. Creates inequality in access to information and opportunities.
Answer: The GDPR aims to protect the privacy and personal data of individuals within the EU. Gives EU residents greater control over their personal data.
Answer: A data breach is an incident where unauthorized individuals gain access to sensitive data. Can expose personal information leading to identity theft or misuse.
Answer: Data privacy concerns are a significant social issue related to big data. Large-scale data analysis can threaten individual privacy.
Answer: Data security involves safeguarding digital data from unauthorized access and corruption. Protects against both external threats and internal corruption.
Answer: Balancing innovation with privacy concerns is a challenge in data ethics. Organizations must weigh technological progress against privacy rights.
Answer: Data sovereignty is the concept that data is subject to the laws of the country where it is located. Determines which country's laws apply to data processing.
Answer: Potential invasion of privacy is an ethical concern with facial recognition. Technology can track individuals without explicit consent.
Answer: A data ethics framework provides guidelines to ensure ethical data collection and use. Helps organizations make responsible decisions about data use.
Answer: Ethical hacking involves legally breaking into computers to test a system's defenses. Authorized testing helps identify vulnerabilities before malicious attacks.
Answer: Cookies are small text files stored on a user's device to track and record online activity. Enable personalized experiences but raise privacy concerns.
Answer: A PIA is a process to evaluate the effects of a project on privacy and data protection. Identifies potential privacy risks before implementation.
Answer: Data literacy is the ability to read, understand, create, and communicate data as information. Essential skill for making informed decisions in a data-driven world.
Answer: Data privacy is the protection of personal information from unauthorized access. Ensures individuals control access to their personal information.
Answer: The GDPR aims to protect the privacy and personal data of individuals within the EU. Gives EU residents greater control over their personal data.
Answer: GDPR stands for General Data Protection Regulation. EU regulation governing data protection and privacy rights.
Answer: Privacy invasion is a significant ethical issue in data mining. Data mining can reveal personal patterns without user awareness.
Answer: Data portability allows individuals to obtain and reuse their data across different services. Prevents vendor lock-in and promotes user autonomy.
Answer: A privacy policy informs users about how their data is collected, used, and protected. Creates transparency between organizations and users about data practices.
Answer: A data subject is an individual whose personal data is collected and processed. The person whose data rights are protected under privacy laws.
Answer: Potential invasion of privacy is an ethical concern with facial recognition. Technology can track individuals without explicit consent.
Answer: GDPR stands for General Data Protection Regulation. EU regulation governing data protection and privacy rights.
Answer: Loss of consumer trust is a significant consequence of a data breach. Users lose confidence in organizations that fail to protect their data.
Answer: Data sovereignty is the concept that data is subject to the laws of the country where it is located. Determines which country's laws apply to data processing.
Answer: Cookies are small text files stored on a user's device to track and record online activity. Enable personalized experiences but raise privacy concerns.
Answer: The primary goal is to safeguard personal information from misuse and unauthorized access. Protects individuals from harm caused by data misuse.
Answer: A data subject is an individual whose personal data is collected and processed. The person whose data rights are protected under privacy laws.
Answer: Informed consent is the process of obtaining permission before collecting personal data. Ensures users understand what data is being collected and how it's used.
Answer: Data anonymization is the process of removing personally identifiable information from data sets. Helps protect privacy while preserving data utility for analysis.
Answer: Data retention is the continued storage of data for compliance or business reasons. Balances business needs with privacy and storage costs.
Answer: Privacy invasion is a significant ethical issue in data mining. Data mining can reveal personal patterns without user awareness.
Answer: Encryption protects data by converting it into a secure format unreadable without a key. Makes data unreadable to unauthorized parties during storage or transmission.
Answer: Algorithmic bias is a significant risk of algorithmic decision-making. Automated decisions may unfairly disadvantage certain groups.
Answer: Informed consent is the process of obtaining permission before collecting personal data. Ensures users understand what data is being collected and how it's used.
Answer: A DPO oversees data protection strategy and compliance within an organization. Ensures organizational compliance with data protection regulations.
Answer: A PIA is a process to evaluate the effects of a project on privacy and data protection. Identifies potential privacy risks before implementation.
Answer: The principle of 'least privilege' grants users the minimum access necessary for their role. Reduces security risks by limiting potential attack surfaces.
Answer: Data accuracy refers to the correctness and completeness of the data collected. Essential for making reliable decisions and maintaining trust.
Answer: Potential discrimination is an ethical issue with predictive analytics. Algorithms may perpetuate or amplify existing societal biases.
Answer: Data minimization involves collecting only the data that is necessary for a specific purpose. Reduces privacy risks by limiting data collection scope.
Answer: The right to be forgotten allows individuals to have their personal data deleted upon request. Gives individuals control over their digital footprint.
Answer: Data profiling is analyzing data attributes to summarize information about it. Helps understand data quality and structure for better analysis.
Answer: Data portability allows individuals to obtain and reuse their data across different services. Prevents vendor lock-in and promotes user autonomy.
Answer: Respect for privacy is a key principle of ethical data collection. Fundamental to building trust and following legal requirements.
Answer: Data bias occurs when a dataset is not representative of the population it is meant to reflect. Unrepresentative data leads to skewed conclusions and unfair outcomes.
Answer: A data controller determines the purposes and means of processing personal data. Has legal responsibility for ensuring compliant data processing.
Answer: The primary goal is to safeguard personal information from misuse and unauthorized access. Protects individuals from harm caused by data misuse.
Answer: A data ethics framework provides guidelines to ensure ethical data collection and use. Helps organizations make responsible decisions about data use.
Answer: Data anonymization can help protect individual privacy while sharing insights. Enables research and analytics while protecting individual identities.
Answer: Data ownership refers to having legal rights and control over a particular set of data. Establishes who can access, modify, and make decisions about data.
Answer: Data governance ensures data quality, security, and compliance with regulations. Creates systematic approach to managing data throughout organization.
Answer: A data controller determines the purposes and means of processing personal data. Has legal responsibility for ensuring compliant data processing.
Answer: Data privacy concerns are a significant social issue related to big data. Large-scale data analysis can threaten individual privacy.
Answer: Data anonymization is the process of removing personally identifiable information from data sets. Helps protect privacy while preserving data utility for analysis.
Answer: Data security involves safeguarding digital data from unauthorized access and corruption. Protects against both external threats and internal corruption.
Answer: A privacy policy informs users about how their data is collected, used, and protected. Creates transparency between organizations and users about data practices.
Answer: Data lifecycle refers to the stages data goes through, from creation to deletion. Maps data journey from initial collection to final disposal.
Answer: Algorithmic bias is a significant risk of algorithmic decision-making. Automated decisions may unfairly disadvantage certain groups.
Answer: Ethical hacking involves legally breaking into computers to test a system's defenses. Authorized testing helps identify vulnerabilities before malicious attacks.
Answer: Respect for privacy is a key principle of ethical data collection. Fundamental to building trust and following legal requirements.
Answer: Data literacy is the ability to read, understand, create, and communicate data as information. Essential skill for making informed decisions in a data-driven world.
Answer: Data retention is the continued storage of data for compliance or business reasons. Balances business needs with privacy and storage costs.
Answer: Encryption protects data by converting it into a secure format unreadable without a key. Makes data unreadable to unauthorized parties during storage or transmission.
Answer: Data anonymization can help protect individual privacy while sharing insights. Enables research and analytics while protecting individual identities.
Answer: Data bias occurs when a dataset is not representative of the population it is meant to reflect. Unrepresentative data leads to skewed conclusions and unfair outcomes.
Answer: The principle of 'least privilege' grants users the minimum access necessary for their role. Reduces security risks by limiting potential attack surfaces.
Answer: Data governance ensures data quality, security, and compliance with regulations. Creates systematic approach to managing data throughout organization.
Answer: Data transparency refers to openness in how data is collected, used, and shared. Builds trust by making data practices visible to users.
Answer: A data breach is an incident where unauthorized individuals gain access to sensitive data. Can expose personal information leading to identity theft or misuse.
Answer: Data minimization involves collecting only the data that is necessary for a specific purpose. Reduces privacy risks by limiting data collection scope.
Answer: Potential discrimination is an ethical issue with predictive analytics. Algorithms may perpetuate or amplify existing societal biases.
Answer: The digital divide refers to the gap between those with and without access to digital technology. Creates inequality in access to information and opportunities.
Answer: Data privacy is the protection of personal information from unauthorized access. Ensures individuals control access to their personal information.
Answer: The right to be forgotten allows individuals to have their personal data deleted upon request. Gives individuals control over their digital footprint.