Lessons from PMOs using videos and written transcripts
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OpenParliament.tv talk about their approach to video and transcripts when monitoring the German parliament.
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The future of tech, the future of TICTeC: Navigating AI in Pro-Democracy Tech
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As the rapid development of AI reshapes how societies function, how should the civic and pro-democracy tech communities respond? Join mySociety’s CEO, Programme Leads, and special guests for a lively and interactive discussion on striking the right balance between automation and human agency in pro-democracy tech—and how TICTeC initiatives might help shape this critical frontier going forwards.
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Machine Learning, AI and Parliamentary Monitoring
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A conversation about Machine Learning and AI initiatives in parliamentary monitoring.
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How to use AI in analysing mass responses to FOI requests
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Authorities hold information that could clarify societal discussions — but the formats it is held in can make it challenging to interpret digitally. Fedrowanie streamlines the gathering of information from public institutions through mass FOI requests. A recent evolution from manual volunteer work to AI integration represents a leap in enhancing public discourse and governance.
In this TICTeC 2024 presentation, Marzena Blaszczyk (Citizens Network Watchdog Poland) shares their work with AI to analyse mass responses to FOI requests.
Can robots lobby? AI, democracy and political persuasion
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Lobbying is a negative influence often connected to corruption, secrecy and poor behaviour. But can AI change things for the better, improving the abilities of those who monitor lobbying, or helping raise awareness of problems? Conversely, will AI bring increased powers for political persuaders, perhaps even introducing the robot lobbyist?
At TICTeC 2024, Ben Worthy from Birkbeck College presented a paper asking how AI can change lobbying for better or worse. It looks in turn at how AI can allow different groups to do the same things but better; and do new things. It draws on examples from the UK and US, as well as wider academic studies, to predict what may happen, and offer a framework.
Identifying checkable claims with machine learning
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Full Fact have developed a tool which can separate sentences containing claims from those that do not. This accelerates the process of fact-checking.
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Using machine learning to identify food bank dependency early
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Data scientists worked with a foodbank in Huddersfield to understand whether they could predict which customers are most likely to be in need of future support, so that they could intervene early. A notes document.
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