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11 Mar 2025

The AI Revolution: Turning Promise into Reality

The AI revolution is here, but in high-stakes sectors like security and policing, adoption depends on trust, rigorous testing, and assurance. Without clear evaluation frameworks, AI’s potential remains untapped—and the risks outweigh the rewards.

We explore how the UK’s AI Opportunities Action Plan lays the groundwork for progress, but also why testing and assurance must be the priority. From defining evaluation metrics to embedding standards into procurement, the key to unlocking AI’s potential is ensuring it works safely, ethically, and reliably.

AI Safety AI Robustness Language Models Trends and Insights Adversarial Attacks AI Ethics Police and Security AI Risk

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11 Sep 2024

A Look at Advai’s Assurance Techniques as Listed on CDEI

In lieu of standardisation, it is up to the present-day adopters of #ArtificialIntelligence systems to do their best to select the most appropriate assurance methods themselves.

Here's an article about a few of our approaches, with some introductory commentary about the UK Government's drive to promote transparency across the #AISafety sector.

AI Safety AI Robustness Language Models Trends and Insights AI Assurance Adversarial Attacks AI Governance AI Ethics AI Compliance AI Risk Case Study

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22 Feb 2024

The Unwitting AI Ethicist

If you're curious about the types of ethical decisions AI engineers are faced with, this article is for you. TLDR; AI engineers should take on some ethical responsibilities, others should be left for society. Read to find out more...

AI Robustness AI Safety Trends and Insights AI Assurance AI Risk AI Ethics

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09 Jan 2024

Welcome to the Era of AI 2.0

The paradigm has shifted: AI 2.0 is the amalgamation of intelligent language agents capable of collaboration, whose behaviour is guided by natural language, rather than code.

'AI 2.0' is marked distinctly by the orchestration of LLM-based agents. It is AI language models that are capable of managing, directing and modulating other AI. This not merely an incremental step. It’s a leap in artificial intelligence that redefines what is possible for both business and government.

AI Robustness AI Safety Trends and Insights AI Assurance AI Risk Language Models

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12 Dec 2023

The AI Act-ually Happening

Some strengths, some weaknesses and 3 key implications for businesses seeking to adopt artificial intelligence, now the EU has finalised The AI Act.

Let the regulatory driven transformation commence.

AI Robustness AI Safety Trends and Insights AI Regulation AI Governance AI Assurance AI Risk

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20 Nov 2023

Securing the Future of LLMs

Exploring generative AI for your business? Discover how Advai contributes to this domain by researching Large Language Model (LLM) alignment, to safeguard against misuse or mishaps, and prevent the unlocking of criminal instruction manuals!

AI Safety Adversarial Attacks AI Robustness AI Assurance Language Models Trends and Insights AI Risk

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11 Oct 2023

In-between memory and thought: How to wield Large Language models. Part II.

This is the second part of a series of articles geared towards non-technical business leaders. We aim to shed light on some of the inner workings of LLMs and point out a few interesting quirks along the way.

"Language models are designed to serve as general reasoning and text engines, making sense of the information they've been trained on and providing meaningful responses. However, it's essential to remember that they should be treated as engines and not stores of knowledge."

AI Safety AI Robustness AI Assurance Adversarial Attacks AI Governance AI Ethics Language Models Trends and Insights AI Risk

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15 Mar 2023

Assuring Computer Vision in the Security Industry

Advai assessed an AI's performance, security, and robustness in object detection, identifying imbalances in data and model vulnerabilities to adversarial attacks. Recommendations included training data augmentation, edge case handling, and securing the AI's physical container.

Computer Vision AI Governance AI Assurance Adversarial Attacks AI Robustness Case Study AI Risk