.svg)
Interview multiple candidates
Lorem ipsum dolor sit amet, consectetur adipiscing elit proin mi pellentesque lorem turpis feugiat non sed sed sed aliquam lectus sodales gravida turpis maassa odio faucibus accumsan turpis nulla tellus purus ut cursus lorem in pellentesque risus turpis eget quam eu nunc sed diam.
Search for the right experience
Lorem ipsum dolor sit amet, consectetur adipiscing elit proin mi pellentesque lorem turpis feugiat non sed sed sed aliquam lectus sodales gravida turpis maassa odio.
- Lorem ipsum dolor sit amet, consectetur adipiscing elit.
- Porttitor nibh est vulputate vitae sem vitae.
- Netus vestibulum dignissim scelerisque vitae.
- Amet tellus nisl risus lorem vulputate velit eget.
Ask for past work examples & results
Lorem ipsum dolor sit amet, consectetur adipiscing elit consectetur in proin mattis enim posuere maecenas non magna mauris, feugiat montes, porttitor eget nulla id id.
- Lorem ipsum dolor sit amet, consectetur adipiscing elit.
- Netus vestibulum dignissim scelerisque vitae.
- Porttitor nibh est vulputate vitae sem vitae.
- Amet tellus nisl risus lorem vulputate velit eget.
Vet candidates & ask for past references before hiring
Lorem ipsum dolor sit amet, consectetur adipiscing elit ut suspendisse convallis enim tincidunt nunc condimentum facilisi accumsan tempor donec dolor malesuada vestibulum in sed sed morbi accumsan tristique turpis vivamus non velit euismod.
“Lorem ipsum dolor sit amet, consectetur adipiscing elit nunc gravida purus urna, ipsum eu morbi in enim”
Once you hire them, give them access for all tools & resources for success
Lorem ipsum dolor sit amet, consectetur adipiscing elit ut suspendisse convallis enim tincidunt nunc condimentum facilisi accumsan tempor donec dolor malesuada vestibulum in sed sed morbi accumsan tristique turpis vivamus non velit euismod.
The United Kingdom is one of the world’s largest markets for regulatory technology, and Artificial Intelligence is disrupting this key industry.
AI brings scale and efficiency opportunities, but there is a growing recognition that specific AI regulation may be needed to address the unique challenges and risks associated with AI technology in high-risk use cases, such as justice, policing, security, medical, and other regulated industries. The UK government has been actively exploring options for AI regulation, yet no laws have been established to date.
But any UK organisation doing business with the EU or EU citizens may be subject to its AI Act, which has recently come into force, and can apply penalties to organisations in breach of its Ethical AI requirements.
So, what are some key challenges your organisation will face from an Ethical AI perspective? How can you approach them to meet stakeholder and regulator expectations, whether the regulatory guardrails end up voluntary or mandated?
Two major challenges for Ethical AI Adoption:
Bias and hallucination: One of the key challenges in AI adoption is the potential for bias, and incorrect outputs. AI models can inherit biases from the data they are trained on, or even ‘hallucinate’ responses, leading to discriminatory and harmful outcomes. To address this, AI and Automated Decision Making (ADM) logic needs to be transparent and explainable, back to its source.
How can we manage this risk? When using any AI to inform decisions that would be considered risky, specifically those that could result in harm and not be reversible (such as disposing of records), you need to ensure that the ‘workings’ of the AI are contestable. LLMs and ML is typically ‘closed box’, which does not meet this benchmark. Castlepoint Systems pioneered rules-as-code, an Explainable AI (XAI) paradigm that ensures decisions arising are not obfuscated, and can be contested if required.
Privacy and security: Data protection when using AI is a major concern, as AI systems often collect and process large amounts of personal and sensitive data. There are already regulations relating to misuse, unauthorised access, and sovereignty of confidential records, such as the UK General Data Protection Regulation (GDPR) and Critical Infrastructure regulation.
How can we manage this risk? Any use of AI must respect the security rules for the source data. Retrieval-Augmented Generative (RAG) AI such as Copilot or ChatGPT rely for their effectiveness on being able to access large swathes of content. Organisations are already experiencing major challenges adopting LLMs, as they dredge up sensitive content from ‘dark data’ that nobody knew was lurking. Castlepoint Systems reads indexes, and automatically classifies content across the enterprise before GenAI can reach it, finding the risk and enabling compliant disposal or access restriction. Castlepoint also monitors who is using Copilot, and where results are being pulled from, so that governance teams can continually monitor for risk and breaches.
Read more from independent research firm Parker Lawrence about how organisations must focus on review and retention to have success with Generative AI.
The bottom line:
AI is essential to our advancing economy, and to solving the greatest challenges in our communities. But it must be built and deployed from an ethical foundation. As well as bias and hallucination, and privacy and security, your organisation also needs to consider its use cases for AI more holistically, and think about the implications.
Castlepoint Systems is focused on the social and economic implications of AI in the UK. Our company provides AI applications that are used and trusted to address pressing social challenges, such as healthcare, education, and child safety. Partnering with an AI vendor who has credentials in national security, public safety, and social good is a key part of ensuring your AI adoption journey maintains community trust.
Contact our UK team to find out how we can bring trusted, Explainable AI solutions to your information challenges, so that you can control your risk and command your data.
