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WorksheetsData and AI Ethics Quiz
Total questions: 10
Worksheet time: 5mins
What is the impact of bias in training data on applicants?
Privacy rights
Unfair discrimination
Mistrust among employees
Inaccurate hiring decisions
What does the risk management framework aim to address?
Unintended consequences
Stakeholder engagement
Project timelines
Budget constraints
What is a part of the data and risk management framework that involves checking and verifying processes?
Audit
Ignoring incidents
Reducing transparency
Increasing production
What is a response to incorrect outputs due to an inaccurate or biased model?
Implement differential privacy
Identify sources of bias with stakeholders
Data anonymisation
Legal compliance
What is a key consideration when developing AI models to prevent bias?
Maximizing processing speed
Reducing model complexity
Focusing solely on accuracy
Ensuring diverse data representation
Which method can be used to detect bias in AI systems?
Increasing data volume
Ignoring data anomalies
Focusing on user feedback
Conducting regular audits
What is a potential risk of using biased data in AI models?
Enhanced user satisfaction
Increased model accuracy
Perpetuation of existing inequalities
Improved decision-making
What is an effective strategy to mitigate bias in AI decision-making?
Prioritizing speed over accuracy
Reducing stakeholder involvement
Implementing transparency measures
Relying on historical data
What is a key practice to promote ethical AI development?
Disregarding ethical guidelines
Implementing transparency measures
Prioritizing profit over ethics
Relying solely on automation
What is a key practice for maintaining transparency in AI systems?
Withholding performance metrics
Disregarding ethical guidelines
Providing comprehensive documentation
Obscuring decision-making criteria
