Article 16. Algorithmic System Accuracy Reviews – Choosing The Right Approach Algorithm Integrity Matters: For Financial Services Leaders, To Enhance Fairness And Accuracy In Data Processing podcast

“If we march into that village and we start trying to persecute people for using poison, something that's very illegal, nobody's going to talk to us. We're not going to find out where the poison came from. We're not going to be able to shut anything down. We should take the approach that people are using poison because they're desperate, because they see no other alternative.” – Andrew Stein Andrew Stein is a wildlife ecologist who spent the past 25 years studying human carnivore conflict from African wild dogs and lions in Kenya and Botswana to leopards and hyenas in Namibia. His work has long focused on finding ways for people and predators to coexist. He is the founder of CLAWS , an organization based in Botswana that's working at the intersection of cutting-edge wildlife research and community driven conservation. Since its start in 2014 and official launch as an NGO in 2020, CLAWS has been pioneering science-based, tech-forward strategies to reduce conflict between people and carnivores. By collaborating closely with local communities, especially traditional cattle herders, CLAWS supports both species conservation and rural livelihoods—making coexistence not just possible, but sustainable.…

Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing « »

Article 16. Algorithmic System Accuracy Reviews – Choosing the Right Approach

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محتوای ارائه شده توسط Risk Insights: Yusuf Moolla. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Risk Insights: Yusuf Moolla یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Spoken (by a human) version of this article.

Outcome-focused accuracy reviews directly verify results, offering more robust assurance than process-focused methods.
This approach can catch translation errors, unintended consequences, and edge cases that process reviews might miss.
While more time-consuming and complex, outcome-focused reviews provide deeper insights into system reliability and accuracy.

This article explains why verifying outcomes is preferred over tracing through processes, and how it works.

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).

27 قسمت

Spoken (by a human) version of this article.

Outcome-focused accuracy reviews directly verify results, offering more robust assurance than process-focused methods.
This approach can catch translation errors, unintended consequences, and edge cases that process reviews might miss.
While more time-consuming and complex, outcome-focused reviews provide deeper insights into system reliability and accuracy.

This article explains why verifying outcomes is preferred over tracing through processes, and how it works.

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Andrew Stein: Living with Lions 46:39

Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing « »
Article 16. Algorithmic System Accuracy Reviews – Choosing the Right Approach