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AI Risk Management

Insightful Resources for Uncovering Bias in English Speech Recognition

January 27, 2023

Speech tech is widely used & has many applications, incl. ASR for voice control of devices & accessing info. However, ASR systems can be fragile & biased, affecting certain groups. This post explores ASR bias metrics used to measure it and recommends datasets to consider.

Responsible AI: 5 Best Practices

January 6, 2023

AI is being adopted across all sectors, with the global revenue of the AI market set to grow by 19.6% each year and reach $500 billion in 2023.

What is AI Auditing?

December 21, 2022

The ongoing proliferation of automated systems and artificial intelligence (AI) across industries has led to the development of regulation governing the use of these systems. The first of its kind, New York City Local Law 144 mandates independent bias audits of automated employment decision tools (AEDTs) used to evaluate candidates for employment or employees for promotion in New York City.

Lost in Transl(A)t(I)on: Differing Definitions of AI

December 16, 2022

The regulation of artificial intelligence (AI) has started to become an urgent priority, with countries around the world proposing legislation aimed at promoting the responsible and safe application of AI to minimise the harms that it can pose.

We Asked ChatGPT to Write an Article About Ethical AI, Here's What it Said

December 12, 2022

In recent years, the field of AI Ethics, and related fields, such as trustworthy AI and responsible AI, have gained much attention due to increasing concerns about the risks that AI can pose if it is not used safely and ethically.

How to Manage the Risk of AI Bias in Identity Verification

October 20, 2022

AI Risk Management is the process of identifying, verifying, mitigating and preventing AI risks. Concrete steps must be taken at each stage of the AI lifecycle, to reduce the likelihood of bias.

What is Ethical AI?

October 18, 2022

Ethical AI is the practice of incorporating the principles of AI ethics, and other related concepts, such as trustworthy AI and responsible AI, into the design, development and deployment of AI systems.

Facial Recognition is a Controversial and High-Risk Technology. Algorithmic Risk Management Can Help

August 26, 2022

Facial recognition has several applications, from controlling access to a building and unlocking devices to replacing a boarding pass and identification of suspects by law enforcement.

NIST’s AI Risk Management Framework Explained

August 19, 2022

This blog explains the key elements of NIST’s AI RMF and why AI risk management will become embedded as a core business function in the coming years.

Why Do We Need AI Auditing and Assurance?

August 12, 2022

An overview of three high-profile cases that highlight the risks associated with the use of algorithms, and outline how applying AI ethics principles could have prevented these harms from occurring.

Assessing the Impact of Algorithmic Systems

August 10, 2022

The upcoming EU AI Act also requires AIAs to determine whether a system is high-risk and subject to additional regulation. This blog post gives an overview of AIAs, DPIAs, and the difference between them, providing some examples of legislation that requires them.

Auditing vs Assurance: What’s the difference?

August 5, 2022

While auditing and assurance are related concepts and practises, they are distinct. In this blog, we give an overview of algorithm auditing and assurance, outlining the key components of each practice and how they link to each other.

AI Ethics 101

August 2, 2022

In this blog post, we provide an overview of AI ethics, first defining the term before discussing the approaches that bring about more ethical AI and the major themes in the field.

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