Ewa Luger profile picture

Job title:

Chair of Human-Data Interaction

Office:

North-East Studio Building

Biography

Professor Ewa Luger is co-director of the Institute of Design Informatics and co-Director of AHRC’s Bridging Responsible AI Divides (BRAID) programme.  She works closely with policy-makers and industry and is a member of the DCMS college of experts.

Background

Previously a fellow of the Alan Turing Institute, Researcher at Microsoft, Fellow of Corpus Christi College (University of Cambridge), and consultant ethicist for Microsoft Research (2016-2020). She builds upon 15 years as a digital exclusion/skills expert and practitioner (NIACE, 1999-2014) where she worked with marginalised communities. Ewa holds a BA (Hons) in International Relations & Politics, an MA in International Relations, and a PhD in Computer Science.

Research

Research

Ewa’s research explores social, ethical and interactional issues in the context of complex data-driven systems, with a particular interest in design, the distribution of power, spheres of exclusion and user consent. Past projects have focused on responsible AI, voice systems and language models in use, application of AI in journalism and public service media, intelligibility of AI and data driven systems to expert and non-expert users, security and safety of systems in the cloud and at the edge, and the readiness of knowledge workers to make use of AI.

Projects

Ewa has been investigator on over £28 million of externally-funded projects (EPSRC, ESRC, AHRC, Centre for Digital Built Britain and DataLab) since 2016. She is currently Co-PI of the AHRC Bridging Responsible AI Divides (BRAID) programme (2022-2028), Co-I on the EPSRC Fixing the Future project, and collaborator on the UKRI Digital Twinning Network (DTNet+). Ewa is also an organiser of Conversations, an annual international workshop on chatbot research, since 2015.

Current PhD students

Yu Shang

How Does the Roughness in Computer Vision Cause the Rupture between the Human and One's Body Images?

Auste Simkute

Explainability Through Design in AI and Data-Driven Media

PhD Supervision Topics

  • Human Data Interaction
  • Ethics of AI
  • Data Governance
  • Human Computer Interaction
  • Digital Inclusion
  • Technology for Public Participation