Algorithmic Bias

How do you feel about this?

Does this effect you, your clients or employees?

Using AI is becoming fashionable and associated with cutting edge progress.

Here is a basic question for you.

Do you know what data was used to train and build the algorithm that you, your company or organisation is using?

There maybe an embedded bias in the said data which is resulting in bias outcomes that do not align with your or your organisations beliefs and values.

Point and case

It was reported in 2018 by Reuters that “… by 2015, [Amazon] realized its new system was not rating candidates for software developer jobs and other technical posts in a gender-neutral way.’

“That is because Amazon’s computer models were trained to vet applicants by observing patterns in resumes submitted to the company over a 10-year period. Most came from men, a reflection of male dominance across the tech industry. ([…])

In effect, Amazon’s system taught itself that male candidates were preferable. It penalized resumes that included the word “women’s,” as in “women’s chess club captain.””

As a result, “Amazon edited the programs to make them neutral to these particular terms.”

See the full Reuters article at the link below

https://www.reuters.com/article/world/insight-amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK0AG/

Should this terrify us about AI or are we over reacting?

The commentary that follows is arguably one of the best cases I have come across supporting why AI should be further tested before being deployed any further.

Pause for a minute and read the following commentary at the link below.

What do you think?

“So what happened with OpenAI to get us to this point?

To keep it simple, OpenAI was testing one of its many AI systems when it broke out of its cell, went rogue, hacked into an unrelated company called Hugging Face and stole information it wanted. It did all this of its own volition, and without being detected for a good chunk of time. This was disclosed by both companies when they (thought) they figured it out, and it was considered a huge wake-up call that better safety was needed.

Except guess what? It was so much worse than that.” – Los Angeles Times

What we learnt about AU last week should terrify all of ushttps://www.latimes.com/california/story/2026-09-06/what-we-learned-about-ai-last-week-should-terrify-all-of-us

Training Webinar: AI opportunities and challenges

On Saturday 3 May, 2025, I helped moderate and presented in the webinar shown on the flyer below.

Hellen Mukiri-Smith, PhD was the featured speaker/presenter.

She has expertise in the regulation of data, emerging technologies including fintech, artificial intelligence and  biometrics identity systems.

The topic of this capacity building webinar was “Artificial Intelligence (AI) opportunities and challenges”

Her research interests are in transnational law-making processes in the regulation of data and AI to protect human rights and the rule of law, and the use of strategic litigation as a tool to regulate the use of data and AI.

During the presentation, Mukiri-Smith, PhD covered multiple topics including the following:

  • Introduction to relevant AI terms;
  • Global trends in AI;
  • Opportunities and challenges;
  • Sectoral AI applications; and
  • AI case studies

It was a pleasure to contribut to the webinar by presenting on selected case studies involving Generative AI namely Large Language Models (LLMs).

Upwards and Onwards to other capacity building events.

I am excited to organising my next AI capacity building event. If you are looking for a thoughtful organiser or a compelling presenter then let’s connect at kean@smithkas.com.

Law and Artificial Intelligence

This page contains summaries and links to articles covering law and the use of artificial intelligence.

Co-Chair of the UN’s AI Advisory Body, reflected on the role of the UN in creating globally agreed AI regulations – 1 January, 2024

UN News

Interim Report, Governing AI for Humanity concludes that AI “cries out for governance, not merely to address the challenges and risks, but to ensure we harness its potential in ways that leave no one behind”.

US Supreme Court Chief Justice predicts AI will ‘significantly’ impact legal work – 2 January, 2024

Cointelegraph

U.S. Supreme Court Chief Justice John Roberts predicts AI will “significantly” impact legal work at the trial level while saying AI usage by legal teams requires “caution and humility.” 

According to Roberts, AI can “indisputably assist” the current judicial system in pushing forward the goals of implementing rule no. 1 of the Federal Rules of Civil Procedures to seek the “just, speedy, and inexpensive” resolution of cases.

IOSCO publishes guidelines for use of Artificial Intelligence and Machine Learning

The Board of the International Organization of Securities Commissions (IOSCO) published on 7 September, 2021 guidance to help its members regulate and supervise the use of Artificial Intelligence (AI) and Machine Learning (ML) by market intermediaries and asset managers.

The use of AI and ML … create or amplify risks, potentially undermining financial market efficiency and harming consumers and other market participants. – Source: IOSCO Media Release IOSCO/MR/23/2021 (https://www.iosco.org/news/pdf/IOSCONEWS616.pdf )