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Innhold levert av Sean Riley. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Sean Riley eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Delivering Trustworthy Electoral Oversight

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Manage episode 428153722 series 3499030
Innhold levert av Sean Riley. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Sean Riley eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Democratic elections should be both free and fair, but also that citizens believe that the elections are free and fair. It is also essential that the institutions in charge of managing elections are trusted in the delivery of these goals.

Regulators struggle to keep up with technological developments, and many are under-resourced and time-poor. The integrity of elections is under attack, so a focus on getting these things right is more important than ever.

The "Delivering Trustworthy Electoral Oversight" project investigates a natural language processing model that can classify and analyse election spending returns in near real time. Without good quality information, concerns about electoral integrity foment so this project aims to address that issue.
Project website: Delivering Trustworthy Electoral Oversight – UKRI Trustworthy Autonomous Systems Hub (tas.ac.uk)
Podcast guest:
Sam Power, Senior Lecturer in Politics, University of Sussex

Podcast Host: Sean Riley

The UKRI Trustworthy Autonomous Systems (TAS) Hub Website

  continue reading

52 episoder

Artwork
iconDel
 
Manage episode 428153722 series 3499030
Innhold levert av Sean Riley. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Sean Riley eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Democratic elections should be both free and fair, but also that citizens believe that the elections are free and fair. It is also essential that the institutions in charge of managing elections are trusted in the delivery of these goals.

Regulators struggle to keep up with technological developments, and many are under-resourced and time-poor. The integrity of elections is under attack, so a focus on getting these things right is more important than ever.

The "Delivering Trustworthy Electoral Oversight" project investigates a natural language processing model that can classify and analyse election spending returns in near real time. Without good quality information, concerns about electoral integrity foment so this project aims to address that issue.
Project website: Delivering Trustworthy Electoral Oversight – UKRI Trustworthy Autonomous Systems Hub (tas.ac.uk)
Podcast guest:
Sam Power, Senior Lecturer in Politics, University of Sussex

Podcast Host: Sean Riley

The UKRI Trustworthy Autonomous Systems (TAS) Hub Website

  continue reading

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