Group 1: Evidence-Based Arguments, Statistic: In the United States, there are already around 15 CCTV cameras for every 100 people., Real-World Case Study: The story of Steve Talley, a financial advisor from Denver who was wrongly arrested due to facial recognition errors., Current Event Data: China’s surveillance network has over 200 million cameras nationwide., Specific Evidence: Facial recognition is being used in China to identify and fine people for minor offenses like jaywalking., Direct Comparison: In the U.K., reports show an increase in body-worn cameras used by university staff and supermarket workers., Group 2: Potentially Flawed or Emotional Arguments, Weak/Inaccurate Analogy: Comparing current police technology to the fictional "PreCrime" division in the movie Minority Report., Provoking Emotional Response: Claiming that "soon, we won't be able to take our children to the store without them being monitored as potential criminals!", Inclusive Language: Using "we" and "our" (e.g., "we pay for it with our privacy") to make the reader feel personally attacked., Unfair/Biased Language: Describing virtual assistants as technology that "spies on our conversations" rather than focusing on their intended function., Poorly Reasoned Argument: Suggesting that because a movie's fictional system failed, all real-world predictive policing must also be dangerous.

B2.4: Do you think this is a valid argument?

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