W4 : The Intersection of Police Surveillance and Facial Recognition: Balancing Security and Privacy

Nowadays, facial recognition technologies are being used in police surveillance in various parts of the world to enhance law enforcement efforts. When a criminal event happens, security personnel must be able to locate the suspect quickly. And with the help of a facial recognition surveillance system, companies can quickly locate and find the person by just uploading a picture with the face.(Building a Security & Surveillance System with Facial Recognition, 2023) However, there are still a few concerns regarding privacy, potential biases and the need to improve accuracy and transparency.

 


(Mascellino, 2021)


FUTURE VISION

In a future scenario, approximately 30 to 40 years from now, police surveillance and facial recognition systems will achieve a balance between security and privacy. The ideal state envisions high accuracy, transparency, and unbiased facial recognition algorithms.

 


(Kharpal, 2019)


SOLUTIONS

1. Unbiased Algorithm Development

Develop and implement strict guidelines for creating and deploying the facial recognition algorithm. The guideline should prioritize fairness, accuracy and transparency, minimizing biases and ensuring accountability at the same time. With the help of strict guidelines, a developed algorithm can be reliable and unbiased. This solution requires collaboration between technology experts, lawmakers and civil rights organizations to establish a clear guideline that can have a strike of balance between privacy and security.

 


(Alfred, 2020)


2. Privacy Enhancing Technologies

Integrate advanced privacy enhancing technologies into facial recognition system. This technology includes a wide range of applications that can help developers and researchers to analyse data without revealing personal information. Integrating privacy enhancing technologies into surveillance systems can provide a layer of help to protect the identity and security of people in photos and videos while still allowing effective law enforcement. This solution requires investment in research and development. 

 


(Miguel, 2022)

3. Public Engagement and Oversight

A well-developed mechanism for public engagement and oversight must be established in using facial recognition technology. This involves creating independent review boards involving community representatives and conducting regular audits to ensure compliance with proper privacy regulations and address public concerns. Inviting and explaining in the decision-making process can promote trust and build relationships. Relationships and trust take time to build which means they are not established immediately but develop gradually though the consistent effort of interactions.

 


 (Michael, 2022)

The inspiration behind these solutions stems from the concern and recognition of the importance of balancing security and privacy in police surveillance. The aim was to address the current challenges and limitations by envisioning a future where technology is highly developed, privacy is well protected and public trust is restored.

 


References

Building a Security & Surveillance System with Facial Recognition. (2023, January 30). https://www.cyberlink.com/faceme/insights/articles/460/building-surveillance-systems-with-facial-recognition-technology

Michael, H. (2022, March 1). How Public Engagement Produces More Accountable and Effective Government. https://icma.org/articles/pm-magazine/how-public-engagement-produces-more-accountable-and-effective-government

Miguel, G. (2022, December 22). New privacy-enhancing technology for everyone. https://developers.googleblog.com/2022/12/new-privacy-enhancing-technology-for-everyone.html

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