Submissions might include (but not limited to) the following areas:

• Algorithm Development e.g. Fairness; Interpretable and explainable models; Data collection and curation
  
• Data and Algorithm Evaluation e.g. Metrics; Audits; Evaluations
  
• Applications e.g. NLP; Computer vision; Search engines; Recommender systems; Programming languages; Databases
  
• Human Factors e.g. Human-computer interaction; Humans-in-the-loop; Information visualization; UX design; Community or participatory-research design
  
• Privacy and Security e.g. Formal approaches; Privacy-preserving models; Usable privacy and security
  
• Law and Policy e.g. Organizational governance; Data protection; Non-discrimination; Codes of ethics; Models from historically marginalized perspectives (e.g. Global Southern, feminist, communitarian, or Indigenous perspectives)
  
• Humanistic theory and critique e.g. Interrogating foundational concepts; Bridging critical concepts across fields; Philosophical, moral and ethical analysis
  
• Social and organizational processes e.g. Algorithms in organizations and institutions; Social, cultural, and historical shaping of algorithmic phenomena; algorithmic impacts on social phenomena
  
• Community-based approaches e.g. Participatory algorithm design; Community designed and maintained systems; Activism-driven technological change
  
• Education e.g. Pedagogical approaches, proposals, and experiences in areas of relevance to FAccT