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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.

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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...

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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.

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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."

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04 Oct 2023

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

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Alignment Technology Being Kept Under Control

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03 Oct 2023

Superintelligence alignment and AI Safety

OpenAI recently unveiled their 'Introducing Superalignment' initiative 📚, with the powerful statement: “We need scientific and technical breakthroughs to steer and control AI systems much smarter than us.”

We couldn’t agree more. As our Chief Researcher, @Damian Ruck says, “No one predicted Generative AI would take off quite as fast as it has. Things that didn’t seem possible even a few months ago are very much possible now.”

We’re biased though; AI Safety and Alignment represents everything we believe and have been working on for the last few years. It may be to prevent bias, to ensure security, to maintain privacy. Or it could be a totally different and unforeseen consequence that you avoid.

How do we meet the challenge of steering AI systems? With AI.

“There’s no point if your guardrail development isn’t happening at the same speed as your AI development”.

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02 Sep 2023

Autonomous Military Systems Must Operate as Commanded

To protect our way of life, the primary purpose of military innovation is to achieve and maintain operational advantage over our adversaries.

In the modern age, this practically translates to advanced operational systems and hyperintelligent software to manage these systems in an increasingly autonomous way.

But we must be able to trust these systems...

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15 Aug 2023

A Robust Day for AI: Trust, Robustness, and Europe’s ‘The AI Act’.

European Parliament approved the draft legislation for The AI Act recently.

What does this mean for AI innovation and the businesses behind it? Find our our robustness perspective on the evolving regulatory landscape.

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07 Jul 2023

Biased Age Estimation Algorithms

Biased age estimation is a great example of algorithmic #discrimination. Such #AI algorithms are therefore unfit for use. Right?

Well, their use is threatening to happen anyway. With multiple US federal bills and the UK’s Online Safety Bill looking to legislate online age verification, improving the robustness of these systems is becoming growingly urgent.

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25 Feb 2023

What is Responsible AI

Welcome to the What is.. series? Bite size blogs on all things AI.

In this instalment we explore the what, where and why of Responsible AI. What is it? Where is it used? Why is it important?

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21 Apr 2021

Beyond Jeopardy: How Can We Trust Medical AI?

In 2011, just two days after Watson beat two human champions at Jeopardy!, IBM announced that their brilliant Artificial Intelligence (AI) would be turning its considerable brainpower towards transforming medicine. Stand aside, Sherlock: Dr. Watson is on the case.

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