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Public sector organisations need to think about accessibility at every stage and ensure they meet the Web Content Accessibility Guidelines (WCAG 2.1) design principles. The Public Sector Bodies (Websites and Mobile Applications) Accessibility Regulations 2018 are now active and applicable to all public sector organisations, including policing, and this guidance has been created to support organisations meeting the requirements for all new and existing websites or applications.

The guidance is split into several sections:

1. Decide how to check the accessibility problems on your website or mobile app
2. Make a plan to fix any accessibility problems
3. Publish your accessibility statement
4. Make sure new features are accessible

The main theme throughout is that accessibility should be considered on how people with impairments to their sight, hearing, movement, memory or thinking may use the website/app. Regular tests should be carried out from the point code writing even through the public beta stage and at every time a new feature is added.

The best way to meet accessibility requirements is to:

• think about accessibility requirements from the commencement

• run accessibility tests regularly throughout development

• get a formal accessibility audit before you go into public beta

• make sure the service works with the most common assistive technologies - screen readers or speech recognition software

• test the service with disabled users and with older users

Legislation link: https://www.legislation.gov.uk/uksi/2018/852/contents/made

The rapid growth of Artificial Intelligence (AI) within policing is unsurprising. The speed and accuracy that AI can bring to police processes make it an attractive way to deliver an effective and efficient service. However, the application of AI can be contentious[i]. Transparency and fairness must be at the heart of what we implement, to ensure a proportionate and responsible use that builds public confidence.

This Covenant outlines a set of principles that forces have agreed will define how it uses AI in its business. They were endorsed by all members of the National Police Chiefs’ Council on 28 September 2023. The endorsement means that all developers and users of AI within policing must give due regard to the Covenant’s principles. Whilst the implementation of these principles across policing will be an ongoing and evolving area of work, publication of our principles ensure we are acting with transparency from the outset.

The digital policing learning programme was created to for officers and staff to update their knowledge regarding digital intelligence and investigation. The programme helps explains the use and misuse of devices and applications and how they appear in the policing world. 

The programme’s aim is to ensure that all staff are:

• confident facing situations where there is a digital element

• competent in identifying and carrying out the actions required by those circumstances

• able to ensure they are compliant in their actions.

The Digital Intelligence and Investigation project will deliver learning and knowledge resources that will ensure that all new and serving officers acquire the digital skills they need to undertake investigations effectively.  

All vehicles (VEH01) is a dataset of all licensed and registered vehicles in Great Britain and the UK, produced by Department for Transport.

It contains licensed vehicles, registered vehicles for the first time, vehicles by numbers of keepers, Statutory Off Road Notification (SORN) and the Ultra-low emissions vehicles (ULEVs).

For more information please contact Vehicles statistics

Emailvehicles.stats@dft.gov.uk

Public enquiries: 020 7944 3077

Intelligence is information collected and gathered for the purpose of taking action. This process is continuous and critical to effective policing operations that allow for tactical options and prioritisation. Such intelligence can sometimes be classified as confidential or sensitive.

A Code of Practice has been issued by the secretary of state to develop a national intelligence model (NIM), which sets out principles and standards for chief officer and police and crime commissioners to adhere. Ensures the results of the standards are systematic for continuous progress and also helps promote compatibility of procedures and terminology for the (NIM) as well as monitor and evaluate the promulgation of good practice.

The code of the practice came into effect in January 2005.

An investigation is undertaken when a crime has been reported and a police officer investigates the circumstance following all lines of enquiry of the situation to determine if a crime has been conducted and where a person/s should be charged with an offence, or if the person who offended is guilty.

Under the Home Office counting rules, when members of the public are making a complaint, victims should be believed for the matter of recording a crime unless it's clear that the incident did not happen. An investigators duty is to gather and test all material presented including witness accounts/statements and use technical and scientific expertise to maximise evidential opportunity.

The following outcomes may be that the suspect is prosecuted in court, receives an out of court disposal, community resolution or charges dropped. A lot of the times investigators may not find enough evidential material to make a charging decision either as a result of lack of evidence or not enough lines of enquiry to pursue. However the investigation outcome must still be recorded accurately for intelligence purposes and especially for future use, as this will help police identify crime hotspots and help reduce crime rates.  

This code of practice issued by the Secretary of State (regulated by the Surveillance Camera Commissioner) under the Protection of Freedoms Act 2012 (PoFA) covers police forces in England & Wales. Chief officers must have regard to this code when using facial recognition algorithms as part of the operation of surveillance camera systems, or the use or processing of images or other information obtained.

The code only applies to the use of facial recognition technology and processing of images from surveillance cameras operated in 'live time' or 'near real time' operational scenarios.

The code includes considerations into:

• Applicability
• Biometrics
• Ethics
• Human Rights
• Legal frameworks
• Police policy documents
• Governance
• Evidence handling
• Public engagement
• Accountability and certification

Also included as an attachment is the National Surveillance Camera Strategy for context.

This guidance document suggests how to set up, maintain, monitor and maximise the performance of an ANPR system. It is written for law enforcement ANPR operatives and commercial installers on behalf of the National ANPR Strategy Board. It applies to ANPR systems that are part of the National ANPR Infrastructure (NAI) and may feed data into the National ANPR System (NAS).

Users should also consider the Data protection Act 2018 and Surveillance Camera Code of Practice when using this document.

This document's aim is to clearly define to suppliers of in-car ANPR software the minimum requirements to meet Regulation 109 (as amended by the Vehicle Special Order - VSO) whilst at the same time maintaining operational effectiveness and officer safety. Going forwards in this document this version of software will be referred to as ‘Regulation 109 compliant’.

This covers any ANPR system with a screen viewable by the driver, for example bespoke in-car system, tablet device, mobile phone, this will be referred to as an in-car system.
 

These standards articulate the requirements with which the police and other Law Enforcement Agencies (LEA) must comply to access the National ANPR Capability (NAC). This document includes a description of the legal basis for ANPR as well as the applicability of these standards. The standards comprise three main sections: Data Standards, Infrastructure Standards and Data Access and Management Standards.