Artificial Intelligence for the Internal Democracy of Political Parties

26 Pages Posted: 15 Apr 2024 Last revised: 30 Nov 2024

See all articles by Claudio Novelli

Claudio Novelli

Yale University - Digital Ethics Center

Giuliano Formisano

University of Oxford - Oxford Internet Institute; University of Oxford - Nuffield College

Prathm Juneja

University of Oxford - Oxford Internet Institute

Giulia Sandri

Johannes Gutenberg University Mainz; Université Libre de Bruxelles (ULB)

Luciano Floridi

Yale University - Digital Ethics Center; University of Bologna- Department of Legal Studies

Date Written: March 30, 2024

Abstract

The article argues that AI can enhance the measurement and implementation of democratic processes within political parties, known as Intra-Party Democracy (IPD). It identifies the limitations of traditional methods for measuring IPD, which often rely on formal parameters, self-reported data, and tools like surveys. Such limitations lead to partial data collection, rare updates, and significant resource demands. To address these issues, the article suggests that specific data management and Machine Learning techniques, such as natural language processing and sentiment analysis, can improve the measurement and practice of IPD.

Keywords: Artificial Intelligence, Democracy, Intra-Party Democracy, Machine Learning, Data management

Suggested Citation

Novelli, Claudio and Formisano, Giuliano and Juneja, Prathm and Sandri, Giulia and Floridi, Luciano, Artificial Intelligence for the Internal Democracy of Political Parties (March 30, 2024). Minds & Machines 34, 36 (2024); https://link.springer.com/article/10.1007/s11023-024-09693-x,
, Minds and Machines, volume 34, issue 4, 2024[10.1007/s11023-024-09693-x], Available at SSRN: https://ssrn.com/abstract=4778813 or http://dx.doi.org/10.1007/s11023-024-09693-x

Claudio Novelli (Contact Author)

Yale University - Digital Ethics Center ( email )

85, Trumbull Street
New Haven, CT 06511
United States

HOME PAGE: http://https://dec.yale.edu

Giuliano Formisano

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

University of Oxford - Nuffield College ( email )

Nuffield College, Oxford
New Road
Oxford, OX1 1NF
United Kingdom

Prathm Juneja

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

Giulia Sandri

Johannes Gutenberg University Mainz ( email )

Saarstr. 21
Jakob Welder-Weg 4
Mainz, 55122
Germany

Université Libre de Bruxelles (ULB) ( email )

CP 132 Av FD Roosevelt 50
Brussels, Brussels 1050
Belgium

Luciano Floridi

Yale University - Digital Ethics Center ( email )

85 Trumbull Street
New Haven, CT CT 06511
United States
2034326473 (Phone)

University of Bologna- Department of Legal Studies ( email )

Via Zamboni 22
Bologna, Bo 40100
Italy

HOME PAGE: http://www.unibo.it/sitoweb/luciano.floridi/en

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