Topics

• Defining & Measuring Trustworthiness
  • Rigorous definitions across fairness, safety, truthfulness, privacy, explainability, robustness, and cultural awareness.
  • Standardized, reproducible evaluation protocols and best practices.
• Techniques to Enhance Trustworthiness
  • Bias mitigation and fairness methods (pre-training & fine-tuning).
  • Knowledge editing, continual learning, and machine unlearning.
  • Watermarking and provenance tracking for accountability.
  • Defenses against adversarial attacks and jailbreaking; safety layers and red teaming.
• Deployment & Social Good
  • Case studies in healthcare, education, public policy, social welfare, environment.
  • Managing risks in high-stakes applications and maximizing positive impact.
• Datasets & Benchmarks
  • Diverse, inclusive, and ethically curated datasets; consent and representation.
  • Comprehensive benchmarks for fairness, robustness, privacy, and more.
  • Transparent documentation (data/model cards, datasheets).
• Interdisciplinary Perspectives & Governance
  • Insights from social sciences, philosophy, law, and public policy.
  • Legal/ethical frameworks: compliance, auditability, regulation.
  • Participatory, community-engaged risk assessment and governance.