Is AI a Fair Judge? (TAS Hub Projects Episode)
Is AI a Fair Judge
A projects episode where we look at a few of the projects that the TAS Hub (Trustworthy Autonomous Systems Hub) has funded:
Mapping Contracts and Licenses around Large Generative Models: private ordering and innovation https://tas.ac.uk/research-projects-2022-23/mapping-contracts-and-licenses-around-large-generative-models/
Lilian Edwards (James Stewart)
Trustworthy Autonomous Recommender Systems on Music Streaming Platforms
Trustworthy Autonomous Recommender Systems on Music Streaming Platforms
Peter Ormosi
Principles for Building Fair and Trustworthy Autonomous Fraud Detection in Retail https://tas.ac.uk/research-projects-2022-23/principles-for-building-fair-and-trustworthy-autonomous-fraud-detection-in-retail/
Danni Zhang
This podcast was recorded on 9th May 2023
Chat GPT was used to create these links:
Lilian/James intro:
"In this episode of the Trustworthy Autonomous Systems Hub podcast, we're joined by Lilian Edwards and James Griffin, who are part of the team working on the project "Mapping Contracts and Licenses around Large Generative Models: private ordering and innovation". Lilian unfortunately has laryngitis, but she'll still be sharing her insights with us to help understand the legal and ethical implications of using large generative models, and how contracts and licenses can be used to promote responsible development and use of this technology. James may also jump in to offer his perspective and expertise. It's sure to be a fascinating conversation, so let's dive in."
Peter Intro:
"Next up on the Trustworthy Autonomous Systems Hub podcast, we'll be exploring the world of music streaming platforms and the increasingly sophisticated recommender systems that power them. Our guest today is Peter Ormosi, who is part of the team working on the project "Trustworthy Autonomous Recommender Systems on Music Streaming Platforms". Peter will help us understand the complex algorithms and data-driven decision-making processes behind these systems, and how they can be designed to promote trust and accountability for users, artists, and platform operators alike. Whether you're a casual listener or a devoted music fan, this is a conversation you won't want to miss."
Danni Intro:
"Our last guest on today's Trustworthy Autonomous Systems Hub podcast is Danny Zhang, who has been working on the project "Principles for Building Fair and Trustworthy Autonomous Fraud Detection in Retail". In this project, Danny and her colleagues are tackling the complex and sensitive issue of fraud detection in retail, where AI and other automated systems are increasingly being used to identify suspicious behavior and transactions. But how can we ensure that these systems are accurate, reliable, and fair, and don't perpetuate biases or discriminate against certain groups? Danny will help us navigate these challenging questions and explore some potential solutions for building fair and trustworthy autonomous fraud detection systems. Stay tuned for this important and thought-provoking conversation."
Podcast Host: Sean Riley