AI in Policing: New Era of Accountability & Transparency

Published Date : 04/11/2024 

As AI becomes increasingly integrated into law enforcement, it brings both opportunities and challenges. This article explores the need for robust accountability mechanisms in AI-enabled policing, ensuring transparency and public trust. 

Introduction to the UK Policing and Accountability

Accountability is a fundamental principle in law enforcement, ensuring that those in power use it responsibly.

In the context of the UK, policing has a strong tradition of accountability, especially when it comes to adopting new technologies.

Biometrics, breathalyzers, and body-worn cameras are just a few examples of technological advancements that have been implemented with a focus on transparency and public trust.

The Rise of AI in Policing

The advent of Artificial Intelligence (AI) in policing introduces a new layer of complexity.

AI can significantly enhance the capabilities of law enforcement, from administrative tasks to operational functions.

However, it also raises significant concerns about accountability and transparency.

Accountability in the Age of AI

Standard Accountability Questions

All public bodies, including the police, must be prepared to answer standard questions about their use of technology.

These questions typically revolve around the purpose, functionality, and potential risks of the technology.

For instance, people want to know what the technology does, why it is needed, and what happens if it fails.

These are entry-level accountability questions that the police must address, just like any other public service.

Unique Challenges of AI

AI, however, presents unique challenges.

The complexity and opacity of AI systems can make it difficult to provide clear and understandable answers.

This is where the concept of explainability comes into play.

Public sector organizations, including the police, must ensure that their AI systems are transparent and comprehensible to the public.

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Frequently Asked Questions (FAQS):

Q: What is the main concern with using AI in policing?

A: The main concern is ensuring accountability and transparency, as AI can be complex and opaque, making it difficult for the public to understand how it works and how it is used.

Q: How does AI differ from other technologies in policing?

A: AI brings unique challenges due to its complexity and the potential for function creep, where the technology is used beyond its original purpose, raising concerns about misuse and disingenuous diversification.

Q: What legal frameworks are in place to regulate the use of AI in policing?

A: The EU AI Act is one example of a legal framework that provides guidelines for the responsible use of AI in law enforcement, ensuring that it aligns with ethical and legal standards.

Q: Why is embedded accountability important in AI-enabled policing?

A: Embedded accountability ensures that the police are transparent about their use of AI and what they are not (yet) doing with it, which is crucial for maintaining public trust, especially in the UK where policing is based on public consent.

Q: What is the AIPAS project and how does it contribute to responsible AI in policing?

A: The AIPAS project, led by CENTRIC, aims to develop practical mechanisms and a software tool to assess and implement AI applications in policing, ensuring that they are used responsibly and transparently. 

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