Assignment Content As A Critical Thinker: It Is Important To ✓ Solved

Assignment Contentas A Critical Thinker It Is Important To Understand

As a critical thinker, it is important to understand the elements of an argument and how certain types of statements can affect the validity of an argument. As you learned in the readings this week, arguments are used to convince us of an outcome. You read about how to identify an issue, the role that issues play in arguments, how to differentiate between an argument and rhetoric, and the different types of arguments you may encounter. In this assignment, you will evaluate arguments for and against the use of facial recognition technology and then respond to questions about the issue.

Sample Paper For Above instruction

Facial recognition technology (FRT) has become a significant topic in the realm of privacy, security, and ethics. As with any impactful technological innovation, arguments both supporting and opposing its use are prevalent. Critical analysis of these arguments reveals the complexities involved in its deployment and the importance of understanding the underlying issues, assumptions, and evidence presented.

Supporters of facial recognition technology argue that it enhances public safety and security. For instance, law enforcement agencies utilize FRT to identify suspects quickly, solve crimes more efficiently, and prevent terrorist activities (Li & Jain, 2018). The efficiency gained through FRT is seen as a valuable asset in maintaining national security and public order, especially in crowded spaces like airports and public events. Additionally, proponents claim that FRT can improve customer experience in retail environments by providing personalized services and enhancing convenience (Kumar & Kumar, 2020).

Conversely, opponents highlight significant concerns about privacy violations and potential misuse. They argue that FRT can infringe on individual privacy rights by enabling constant surveillance without consent. The collection and storage of biometric data pose risks of data breaches and unauthorized access, which could lead to identity theft or misuse of personal information (Garvie et al., 2019). Furthermore, critics point out biases embedded in facial recognition algorithms disproportionately affect minority groups, leading to false positives and wrongful accusations (Buolamwini & Gebru, 2018). Such issues undermine the fairness and equity of deploying FRT on a broad scale.

The debate over facial recognition technology demonstrates the importance of understanding the issue's core elements. For example, arguments centered solely on efficiency or security often overlook critical considerations related to ethics, privacy, and human rights. Differentiating between arguments rooted in factual evidence versus rhetorical strategies is essential for an impartial assessment. Recognizing the types of arguments—whether they are deductive, inductive, or causal—helps in evaluating their validity and strength.

In conclusion, the use of facial recognition technology presents a complex issue with compelling arguments on both sides. Critical thinkers must evaluate these arguments carefully, considering underlying issues, quality of evidence, and potential biases. A balanced approach involves weighing security benefits against privacy risks and ensuring that ethical standards are maintained as this technology continues to evolve and be implemented in various sectors.

References

• Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of Machine Learning Research, 81, 1-15.
• Garvie, C., Tan, J., & Mclaughlin, S. (2019). The Perpetual Lineup: Unregulated Police Face Recognition in America. Georgetown Law & Center on Privacy & Technology.
• Kumar, S., & Kumar, N. (2020). Concerns and opportunities in facial recognition: A review. Journal of Artificial Intelligence & Data Mining, 8(2), 245-259.
• Li, S., & Jain, A. K. (2018). Ethical implications of facial recognition technology. IEEE Security & Privacy, 16(1), 70-75.