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2024-09-16
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Participatory Artificial Intelligence in Public Social Services - From Bias to Fairness in Assessing Beneficiaries
This open access edited volume focuses on fairness issues concerning the use of artificial intelligence (AI) for social service provision in national welfare systems. With this, it touches upon important questions in the innovation agenda of countries across continents about the ethics, justice, quality, responsibility, accountability, and transparency to use AI for state functions. The volume shows that in many countries, AI, or at least data analytics methods, are already in place to support the assessment of beneficiaries for deciding on the value criteria to distinguish between legal /fraudulent, deserving/non-deserving, or needy/non-needy recipients. The book provides a cross-cultural comparison of AI-based social assessment among national welfare systems of 9 countries across 4 continents: Spain, Estonia, Germany, Iran, India, Nigeria, Ukraine, China and USA. Based on participatory research results from multi-stakeholder inputs, especially those from vulnerable groups, the chapters in this volume show that value criteria for fairness and social justice are context-bound and vary across the globe. Furthermore, they are in constant flux, aligned to social change. Thus, the volume looks at pathways to developing culture-sensitive, responsive and participatory AI for social assessment in public service provision. The contributions are interdisciplinary and introduce perspectives from the fields of sociology, computational social science, computer science and public policy. This topical volume is of interest to a wide readership.
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2024-09-27
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OpenFreeMap
OpenFreeMap lets you display custom maps on your website and apps for free.
You can either self-host or use our public instance. Everything is open-source, including the full production setup — there’s no ‘open-core’ model here. Check out our GitHub. The map data comes from OpenStreetMap.
Using our public instance is completely free: there are no limits on the number of map views or requests. There’s no registration, no user database, no API keys, and no cookies.
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2024-09-30
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Wahlbezirke Editor
Digitales Tool zum teilautomatisierten Zuschneiden neuer Wahlbezirke auf Grundlage von Bevölkerungsveränderungen.
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2024-08-21
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Verkehrsaufkommen und Luftqualität in Frankfurt
Was ist los auf den Straßen – muss ich mehr Fahrtzeit einplanen? Herrscht Gedränge auf der Einkaufsstraße Zeil? Wieviel Feinstaub ist gerade in der Luft? Antworten auf diese Fragen geben vier Grafiken der Rhein-Main-Zeitung, die ständig aktualisiert werden.
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2024-10-01
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Mainzer Stadtwerke – Nachhaltigkeitsdashboard
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2024-08-27
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Bias Scanner Project
Bias Scanner is about using technology to tackle bias in online news.
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2024-10-08
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D2045 Neue Horizonte - D2030
Gemeinsam mit 50 führenden Zukunftsforschenden sowie zwei Online-Dialogen wurden sieben Zukunftsbilder für ein klimaneutrales und sozial gerechtes Deutschland entwickelt. In der Studie „Neue Horizonte 2045 – Missionen für Deutschland“ werden diese Szenarien sowie daraus abgeleitete Handlungsempfehlungen für die Politik vorgestellt.
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2024-08-27
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Trustworthy journalism through AI - ScienceDirect
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2024-08-26
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How to win at CORS - JakeArchibald.com
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2024-09-20
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paper.pdf
Climate change is one of the greatest challenges facing humanity, and we, as machine learning ex-perts, may wonder how we can help. Here we describe how machine learning can be a powerful tool inreducing greenhouse gas emissions and helping society adapt to a changing climate. From smart gridsto disaster management, we identify high impact problems where existing gaps can be filled by machinelearning, in collaboration with other fields. Our recommendations encompass exciting research ques-tions as well as promising business opportunities. We call on the machine learning community to jointhe global effort against climate change.
Rolnick et al
