Thesis Defence Presentation
Advanced English listening exercise · Academic Presentations
Transcript
Student: Distinguished committee members, thank you for this opportunity. My thesis examines the ethical implications of artificial intelligence in criminal justice systems, specifically predictive policing algorithms. Committee Member: What prompted you to choose this topic? Student: Several high-profile cases revealed that these algorithms exhibited racial bias, disproportionately targeting minority communities. My research investigates whether algorithmic transparency can mitigate these biases. Committee Member: What were your primary findings? Student: I found that while transparency alone is insufficient, combining it with diverse training data and community oversight significantly reduces discriminatory outcomes. My proposed framework includes mandatory bias audits and public accountability mechanisms. Committee Member: How would you respond to critics who argue this would make the algorithms less effective? Student: My data shows no statistically significant decrease in accuracy when bias-mitigation measures are implemented. In fact, removing biased patterns often improves the overall reliability of predictions.
Comprehension questions
- What did the algorithms exhibit?
- Does bias removal decrease accuracy?
- What does the student's thesis focus on?
- What does the student propose to reduce discriminatory outcomes?
- What was one of the student’s findings regarding bias-mitigation measures?