Mark Díaz
Scholar

Mark Díaz

Google Scholar ID: G5c59xMAAAAJ
Google
Human-Computer InteractionSocial BiasAlgorithmic Design
Citations & Impact
All-time
Citations
14,067
 
H-index
20
 
i10-index
29
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Background
  • Research scientist with Technology, AI, Society, and Culture (TASC) within the Research Center for Responsible AI and Human-Centered Technology (RAI-HCT) at Google.
  • Focuses on anticipating, measuring, and mitigating harms of AI systems.
  • Over the past decade, has focused on evaluating social and cultural biases in technological systems, especially biases in data collection processes underlying machine learning datasets and models, including conversational AI (e.g., chatbots).
  • Explores approaches to involving underrepresented groups in AI system development and evaluation.
  • Recently investigating hazards and harms associated with anthropomorphic features of generative AI systems and developing methods to evaluate their impacts on end users and the public.
  • Mixed methods researcher with a background in Human-Computer Interaction (HCI), employing techniques such as interviews, surveys, thematic analysis, experimental design, and language modeling.