))
Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
«
»
Article 5. Equal vs Equitable: Algorithmic Fairness
Manage episode 439176132 series 3594717
Contenu fourni par Risk Insights: Yusuf Moolla. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Risk Insights: Yusuf Moolla ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
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).
19 episodes
Partager
