Reading Material

References

  1. Kozlowski et al. In Silico Sociology: Forecasting COVID-19 Polarization with Large Language Models
  2. Herdel et al. ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies
  3. Ashkinaze et al. Plurals: A System for Guiding LLMs Via Simulated Social Ensembles
  4. Rao et al. RiskRAG: A Data-Driven Solution for Improved AI Model Risk Reporting
  5. Bianchi et al. Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
  6. Sung Park et al. Generative Agent Simulations of 1,000 People
  7. Madaio et al. Co-designing Checklists to Understand Organizational Challenges and Opportunities Around Fairness in AI
  8. Laurie Blank & Daphné Richemond-Barak "When Technology Meets Humanity: Shifting Policy Towards Protection in Conflict"
  9. Ingvild Bode "Human-Machine Interaction and Human Agency in the Military Domain"
  10. Dong et al. Fears About Artificial Intelligence Across 20 Countries and Six Domains of Application
  11. Moreira et al. The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platform