Demo Data from EDBT 2026 / reviewers in the wild / expert
Rochelle Campbell-Esen
dblp:433/3088
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0000-4557-8584ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Design research and methods · 56% Human-AI interaction · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction › responsible AI
AI ethics |
1.0 | 1 | 2026 | Co-Designing Islamic AI Ethics: Insights from the UK Muslim Community · CHI 2026 |
Design research and methods
participatory design |
1.0 | 1 | 2026 | Co-Designing Islamic AI Ethics: Insights from the UK Muslim Community · CHI 2026 |
Design research and methods › participatory design
community-based design |
0.3 | 1 | 2026 | Co-Designing Islamic AI Ethics: Insights from the UK Muslim Community · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
thematic analysis · 1.0co-design workshops · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Co-Designing Islamic AI Ethics: Insights from the UK Muslim CommunityabstractAI governance frameworks are predominantly shaped by Western, secular values, which risks excluding the perspectives of 1.9 billion Muslims whose ethical reasoning is grounded in Islamic principles. To address this gap, we conducted co-design workshops with 12 Muslim women, to identify Islamic ethical values for AI systems and examine how these compare to the UK AI White Paper. Our analysis revealed four themes that complement and challenge assumptions in secular AI governance, (1) Honesty, Transparency, and Trustworthiness; (2) Knowledge, Responsibility, and Divine Accountability; (3) Justice, Power, and Equity; and (4) Unity, Inclusivity, and Diversity. Our findings present Islamic ethical AI processes, including Hadith authentication for verification, collective consultation (shūrā), and wealth distribution (zakat) for restorative and re-distributive justice. This paper contributes to calls for decolonial AI governance and offers the HCI community an Islamic understanding of AI ethics to broaden debates beyond Western paradigms. Rochelle Campbell-Esen, Jamie Mahoney, Reem Talhouk |
CHI | 1 |