Digital Society: Data-Driven Screening Tools

What is a key characteristic of a rule-based screening tool?

• Learns from applicant data automatically

• Uses if-then logic programmed by experts

• Continuously adapts using machine learning

• Operates without human-defined criteria

What distinguishes AI-based screening systems from rule-based ones?

• They operate only under supervision

• They never require data inputs

• They adapt and improve through training data

• They use rigid if-then statements

What is algorithmic bias?

• Intentional discrimination by programmers

• A bias in user behavior online

• Unfair outcomes due to flawed algorithms or data

• A system that removes bias

What is one major source of algorithmic bias in AI systems?

• Well-labeled and diverse datasets

• Sample bias from non-representative data

• Human intuition

• Balanced algorithms

What concept is directly affected when applicants feel reduced to data points?

• Power

• Identity

• Systems

• Collaboration

Which of the following is a benefit of AI-based applicant screening?

• Emotional intelligence

• Legal accountability

• Faster processing and feedback

• Contextual decision-making

What risk is associated with AI replacing human screeners?

• Improved transparency

• Loss of subjectivity

• Reinforcement of bias

• More accurate results

How can AI reduce human bias in screening?

• By eliminating all subjective decisions

• By ignoring gender or race in decision-making

• By using pre-written rules only

• By replacing humans completely

Which example illustrates algorithmic bias from a real-world context?

• Amazon's AI penalizing resumes with 'women's'

• AI improving accessibility for all users

• LinkedIn encouraging inclusive terms

• AI eliminating grammar filters

What might discourage marginalized individuals from reapplying after AI screening?

• Personalized interview offers

• Transparent selection process

• Generic or no feedback

• Human review