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AI/ Automated Facial Recognition 

 

The BSIA prides itself on being the industry voice in all areas which affect the professional security industry.  Automated Facial Recognition (AFR) is a technology that has been designed to improve the safety and wellbeing of people, as well as providing a tool to assist and speed up operational processes. AFR is one of many data analysis technologies which sit under the overarching umbrella of Artificial Intelligence (AI), a branch of Computer Science.

 

There is no single global ethical framework for the safe use of AI, therefore we refer to the Organisation for Economic Cooperation and Development (OECD) recommendations which identify five complementary values-based principles for the responsible stewardship of trustworthy AI:

AI should benefit people and the planet by driving inclusive growth, sustainable development and wellbeing.

AI systems should be designed in a way that respects the rule of law, human rights, democratic values and diversity, and they should include appropriate safeguards, e.g. enabling human intervention where necessary to ensure a fair and just society.

There should be transparency and responsible disclosure around AI systems to ensure that people understand AI-based outcomes and can challenge them.

AI systems must function in a robust, secure and safe way throughout their life cycles and potential risks should be continually assessed and managed. 

Organisations and individuals developing, deploying or operating AI systems should be held accountable for their proper functioning in line with the above principles.

 

 

 

Join our AFR - Special Interest Group!

Send us an email

 

Industry experts from many electronic BSIA sections, including Video Surveillance, Access Control, and Security Systems come together to discuss and work on projects relating to AI/AFR. 

More recently the group produced a guide on its ethical and legal usage and is currently working on a UK positioning statement as the world continues to discuss the pros and cons of this emerging technology. 

GovUK Briefing note - with BSIA evidence 

The ethical issues arising from public-private collaboration in the use of live facial recognition technology 

The Biometrics and Forensics Ethics Group (BFEG) was commissioned to investigate the ethical issues raised by the collaborative use of live (real-time) biometric facial recognition technology (LFR) by public (police) and private organisations

With written evidence supplied by the BSIA 

Read more here

Pictured cover of the
BSIA AFR SIG's latest guide

Automated Facial Recognition

- A guide to ethical and legal use

This guidance provides advice and recommendations on the ethical and legal use of AFR technology for beneficial use in both public and private sector environments to ensure it does not cause harm or discriminate against persons.

It takes into account current known legislation, standards and guidance around AI and in particular AFR.

It is intended to be useful to system designers, installers/integrators, and end-users.

Download your copy now

Pauline Norstrom represents BSIA on CoESS conference

 

2 June 2021 - Pauline talked about the BSIA's ethical and legal guide to Automated Facial Recognition. This is within the context of the latest proposed EU Artificial Intelligence Act which calls for a ban on the use of the controversial technology for remote biometric identification purposes by law enforcement in publicly accessible spaces unless certain requirements are met. She explained the potential impact of the proposed legislation on the users and providers of AFR technology and how the BSIA guide navigates through verification and identification to ensure safe, ethical use within the boundaries of the relevant laws in the UK and EU.

Read CoESS' response to the European Commission

Useful links

BSIA

British Security Industry Association

Anbrian House (First Floor)

1 The Tything

Worcester

WR1 1HD

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