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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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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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18 Oct 2023

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

With so much attention on Large Language Models (LLMs), many organisations are wondering how to take advantage of LLMs.

This is the first in a series of three 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.

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

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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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04 Oct 2023

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

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

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13 Sep 2023

AI Powered Cybersecurity: Leveraging Machine Learning for Proactive Threat Detection 

Every day the attack surface of an organisation is changing and most likely growing.

An environment where petabytes of both traditional and AI enhanced data are transferred across private and public networks creates a daunting landscape for cybersecurity professionals.  This data rich world is now even more accessible to cyber criminals as new AI-enabled strategies facilitated by open-source tooling become available to them.

How is the modern CISO, IT manager or cybersecurity professional meant to keep up? The answer, probably unsurprisingly, is that to detect, and deal with these new threats, AI is also the solution.

AI Safety AI Governance AI Compliance AI Investment Trends and Insights AI Robustness Adversarial Attacks

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31 Aug 2023

Risk Framework for AI Systems

In 2023, AI has become a pivotal business tool, posing both opportunities and risks. Understanding AI, its regulatory landscape, and integrating it into risk management frameworks are essential. This involves staying informed about global regulations, recognising AI-specific threats, and adopting a structured approach to risk management. Stress testing AI systems is crucial for assessing performance and reliability. Businesses must continually adapt, leveraging risk assessments and monitoring to safely harness AI's potential.

AI Safety AI Robustness Adversarial Attacks AI Governance AI Assurance Trends and Insights

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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