All flashcards
Flashcard 1: Identify a potential bias in loan approval algorithms.
Answer: Discrimination based on zip code. Location serves as proxy for protected characteristics.
Flashcard 2: What is confirmation bias in computing?
Answer: Favoring information confirming preconceptions. Developers design systems based on their existing beliefs.
Flashcard 3: What is data bias?
Answer: Bias introduced by data selection or processing. Problems in how data is collected, labeled, or preprocessed.
Flashcard 4: Which option is a consequence of biased algorithms?
Answer: Discrimination. Biased algorithms systematically disadvantage certain groups.
Flashcard 5: Identify a legal concern related to computing bias.
Answer: Violation of anti-discrimination laws. Biased systems can violate equal protection laws.
Flashcard 6: What is exclusion bias?
Answer: Excluding relevant data points. Important subgroups are left out of the analysis.
Flashcard 7: Identify a common cause of measurement bias.
Answer: Inaccurate data collection tools. Sensors or surveys that systematically misrepresent reality.
Flashcard 8: What is the role of transparency in reducing bias?
Answer: Allows scrutiny and correction of biases. Open algorithms enable identification and correction of bias.
Flashcard 9: Which bias occurs when outcomes reinforce pre-existing biases?
Answer: Feedback bias. System outputs create conditions that reinforce the original bias.
Flashcard 10: What is a proxy variable?
Answer: Variable used as a substitute for another. Indirect measure that may introduce unintended correlations.
Flashcard 11: Identify a strategy to mitigate bias in AI systems.
Answer: Regular audits for bias detection. Systematic testing helps identify discriminatory patterns early.
Flashcard 12: What is the impact of bias in automated decision-making?
Answer: Potential for unfair outcomes. Biased systems create systematic disadvantages for certain groups.
Flashcard 13: Identify a form of bias in predictive policing.
Answer: Racial profiling. Using location as proxy for race creates discriminatory outcomes.
Flashcard 14: What role does diversity play in reducing bias?
Answer: Promotes varied perspectives and reduces bias. Different backgrounds challenge assumptions and identify blind spots.
Flashcard 15: Identify a method to detect bias in datasets.
Answer: Statistical analysis. Mathematical tests reveal unequal treatment across groups.
Flashcard 16: What is the significance of fairness in AI ethics?
Answer: Ensures equitable treatment across groups. All groups should receive equal quality of service.
Flashcard 17: What is anchoring bias?
Answer: Relying too heavily on initial information. Initial information disproportionately influences final decisions.
Flashcard 18: Identify the bias in historical data algorithms.
Answer: Perpetuating outdated norms. Past discrimination gets encoded into present-day decisions.
Flashcard 19: What is the role of accountability in computing bias?
Answer: Holds developers responsible for outcomes. Developers must answer for discriminatory algorithm outcomes.
Flashcard 20: Which bias is due to overfitting a model?
Answer: Model bias. Models trained too specifically fail to generalize fairly.
Flashcard 21: What is the impact of data imbalance on bias?
Answer: Skews algorithm results. Unequal group representation distorts learned patterns.
Flashcard 22: Which type of bias is caused by flawed assumptions?
Answer: Confirmation bias. Programmers' assumptions get embedded into the algorithm.
Flashcard 23: Which term describes bias from unrepresentative samples?
Answer: Selection bias. Samples don't accurately represent the broader population.
Flashcard 24: What is algorithmic bias?
Answer: Bias arising from algorithm design and implementation. Occurs when the algorithm's structure inherently favors certain groups.
Flashcard 25: Identify one source of bias in computational data.
Answer: Biased training data. Training datasets reflecting existing prejudices lead to biased models.
Flashcard 26: What is the definition of computing bias?
Answer: Systematic errors in algorithms affecting outcomes unfairly. These errors create unequal treatment across different groups.
Flashcard 27: What role does diversity play in reducing bias?
Answer: Promotes varied perspectives and reduces bias. Different backgrounds challenge assumptions and identify blind spots.
Flashcard 28: Which type of bias results from algorithm simplifications?
Answer: Overgeneralization bias. Algorithms make broad assumptions that miss important nuances.
Flashcard 29: Identify a method to detect bias in datasets.
Answer: Statistical analysis. Mathematical tests reveal unequal treatment across groups.
Flashcard 30: What is the impact of data imbalance on bias?
Answer: Skews algorithm results. Unequal group representation distorts learned patterns.