אודות
Irit Hadar is a Professor at the Faculty of Computer and Information Science, Director, Center for Cyber, Law & Policy, and founder of the research hub: Design Thinking for Socio-Technical Innovation, University of Haifa. Her research focuses on cognitive aspects of software engineering and AI, with emphasis on cybersecurity, privacy, and ethics. Hadar serves on the editorial boards of the journals Empirical Software Engineering and Requirements Engineering, and as a steering committee member of the IEEE Int. Conference on Requirements Engineering. Hadar is active in international projects of tech for good and in the national initiative "Tech 50:50" for gender equality in the tech industry.
פרסומים
Decoupling in AI ethics: Learning how to walk the talk
An Ontology-Guided Knowledge Model for Requirements Engineering of Trustworthy AI Systems
Cognitive implications of using GenAI in design thinking: Insights from educational case studies
Security by Design in Hybrid Software Development: An Empirical Framework for Aligning Organizational Climate and Developer Behavior
Leveraging Workarounds for a Problem-Focused Improvement of Business Processes
תחומי מחקר
- Cognitive Processes in Software Engineering and Data Science: Identifying cognitive difficulties in software engineering and data science and their underlying mechanisms; developing tools for reduction of cognitive load and improvement of decision quality; investigating the effects of Generative AI support on cognitive processes during software development and data analysis.
- Security and Privacy by Design: Investigating practices of security and privacy by design, and the effects of cognitive, social, and organizational factors on these practices.
- Responsible AI: Promoting ethics and responsibility in AI-driven software development and usage, by means of organizational climate and leadership, based on metric development and organizational intervention operations.
- Modeling in Requirements Engineering and Human-centered Software Design: Investigating the role and influence of visualization and modeling on perceptions, factors affecting modeling decision making, and cognitive effectiveness of modeling notations.