Spoken (by a human) version of this article.

When we talk about security in algorithmic systems, it's easy to focus solely on keeping the bad guys out.

But there's another side to this coin that's just as important: making sure the right people can get in.

This article aims to explain how security and access work together for better algorithm integrity.

About this podcast

A podcast for Financial Services leaders, where we discuss fairness and accuracy in the use of data, algorithms, and AI.

Hosted by Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).

Spoken (by a human) version of this article.

Fairness in algorithmic systems is a multi-faceted, and developing, topic.

In episode 4, we explored ten key aspects to consider when scoping an algorithm integrity audit.

One aspect was fairness, with this in the description: "...The design ensures equitable treatment..."

This raises an important question. Shouldn't we aim for equal, rather than equitable treatment?

This episode aims to shed light on the distinctions between equal and equitable treatment in algorithmic systems, while acknowledging that our understanding of fairness is still developing and subject to ongoing debate.

About this podcast

A podcast for Financial Services leaders, where we discuss fairness and accuracy in the use of data, algorithms, and AI.

Hosted by Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).

Spoken (by a human) version of this article.

In Episode 1, we explored the challenges of placing undue reliance on audits.

One potential solution that we outlined is a clear scope, particularly regarding the audit objective.

In this episode, we focus on algorithm integrity as the broad audit objective.

While it’s easy to assert that an algorithm has integrity, confirming this assertion is a bit more complex.

To help simplify this, this episode breaks it down into a set of key areas to consider.

About this podcast

A podcast for Financial Services leaders, where we discuss fairness and accuracy in the use of data, algorithms, and AI.

Hosted by Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).

Spoken (by a human) version of this article.

AI and algorithm audits help ensure ethical and accurate data processing, preventing harm and disadvantage.

However, the guidelines are not yet mature, and quite disparate.

This can make the audit process confusing, and quite daunting - how do you wade through it all to find the information that you need, in deciding how to commission your audit?

Fortunately, there is a solution - narrowing the guidelines down, based on relevance.

Not all existing guidelines are universally applicable. This can vary based on your situation, including:

1. The specific context of your industry
2. The nature of your deployment
3. The characteristics of the system being audited
4. Whether the audit is internal or external
5. Who produces the guidance and for whom it is intended

This article will help you distinguish between audit guidance that applies to your situation and guidance that may not be relevant to your industry, deployment, or organizational needs.

https://riskinsights.com.au/blog/audit-guidance-context-matters

About this podcast

A podcast for Financial Services leaders, where we discuss fairness and accuracy in the use of data, algorithms, and AI.

Hosted by Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).

Spoken (by a human) version of this article.

The motivation(s) for commissioning an audit can determine how effective it will be.

Consider a personal health check-up:

• Sometimes we undergo medical check-ups because we don’t have a choice. We need to - for example for workplace requirements or for insurance.
• At other times, we choose to undergo such check-ups. We want to maintain optimal health and catch any potential issues early.

Often, our approach differs depending on whether we are forced to, or choose to.

The motivations – need vs want – can define how we prioritise them, what our interactions with the medical professional are and how we view the results.

Our engagement and satisfaction levels are generally higher when we choose (than when we are forced).

The same holds for audits.

https://riskinsights.com.au/blog/need-vs-want-an-audit

About this podcast

A podcast for Financial Services leaders, where we discuss fairness and accuracy in the use of data, algorithms, and AI.

Hosted by Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).

Spoken (by a human) version of this article.

One common issue with audits is undue reliance.

Can you rely on the audit report to tell you what you need to know?

Could you be relying on it too much?

https://riskinsights.com.au/blog/reliable-audits

About this podcast

A podcast for Financial Services leaders, where we discuss fairness and accuracy in the use of data, algorithms, and AI.

Hosted by Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).

A brief intro to the podcast.

If you have suggestions for topics you'd like me to cover, feel free to reach out to me via email. yusuf@riskinsights.com.au

About this podcast

A podcast for Financial Services leaders, where we discuss fairness and accuracy in the use of data, algorithms, and AI.

Hosted by Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).