Artificial intelligence in demography: a study on demographic models and the capacity of artificial intelligence
Shaw, Gavin Lee (A.A. 2024/2025) Artificial intelligence in demography: a study on demographic models and the capacity of artificial intelligence. Tesi di Laurea in Demography and social challenges, Luiss Guido Carli, relatore Maria Rita Testa, pp. 101. [Master's Degree Thesis]
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Abstract/Index
Background of demography and the role of artificial intelligence. Data-driven decision making and database navigation. Purpose and relevance of this study. Literature review. AI in social sciences and demography. AI and public policy. AI in public policymaking: where it is being used and why it matters. Regulatory compliance mechanisms: why they are foundational and what “good” looks like. AI in politics: risks to democratic processes (deepfakes, disinformation and real-world cases). Population-level AI raises distinct ethical stakes. Ethical frameworks in practice: lessons from Pegasystems “The AI manifesto”. Data availability, coverage and “who is missing”. Administrative data bias and institutional feedback loops. Governance responses: what “responsible” looks like for population AI. Methodology. Current applications of AI in demographic databases. Institutional use of AI. Predictive modeling and population forecasting. Automation in statistical reporting. Case study of AI performing demographic calculations. What you uploaded (Eurostat “database environments”). Artificial intelligence experiment (quantitative phase). Core population calculations (Eurostat). “Implied population” (derived, not directly reported). Stakeholder perspectives. Demographer perspectives: AI and the data-intensive turn in demography. Opportunities identified by demographers. Expanding data coverage and inclusion through alternative data sources. Critical concerns among demographers. AI Developers and the population data opportunity. EU policymakers’ perspective: human-centric innovation and statistical modernisation.
References
Bibliografia: pp. 88-100.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in International Relations (LM-52) |
| Chair: | Demography and social challenges |
| Thesis Supervisor: | Testa, Maria Rita |
| Thesis Co-Supervisor: | Giordano, Alfonso |
| Academic Year: | 2024/2025 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 01 Jul 2026 13:34 |
| Last Modified: | 01 Jul 2026 13:34 |
| URI: | https://tesi.luiss.it/id/eprint/46276 |
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