Demo Data from EDBT 2026 / reviewers in the wild / expert
Safinah Ali
dblp:223/0179
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computing education · 91% Computational social science and digital humanities · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computing education › ethics education
AI ethics education |
1.0 | 1 | 2026 | Situating Youth Agency in Designing AI & Art Policies · AAAI 2026 |
Computing education › AI education
AI literacy |
1.0 | 1 | 2026 | Situating Youth Agency in Designing AI & Art Policies · AAAI 2026 |
Computing education › AI education
K-12 AI education |
1.0 | 1 | 2026 | Situating Youth Agency in Designing AI & Art Policies · AAAI 2026 |
Methods — techniques the papers use, named apart from their topics
participatory design · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Situating Youth Agency in Designing AI & Art PoliciesabstractAI technologies have long-term societal implications that impact youth, prompting a need for critical AI literacy for students. While current K-12 AI curricula have increasingly integrated societal impact and ethics concepts in AI curricula, there is a need to center youth’s agency in decision-making around AI systems that impact them. In this work, we engaged 94 middle and high school art students in a Policy Design learning activity as a part of an Art and AI learning workshop. Students worked in groups to create policies around AI's use in art, considering stakeholders like artists, AI companies, and consumers. Findings revealed that students developed nuanced, actionable policies that reflected a deep understanding of AI's impact on the art ecosystem, including issues of copyright, artist compensation, and transparency. The activity empowered students to think critically about AI’s ethical implications on various systems in the AI and art ecosystem and fostered a sense of agency in shaping its future. This work demonstrates the value of integrating policy design into K-12 AI curricula, providing youth with the skills and perspectives to become informed, ethical citizens in an AI-driven world. Safinah Ali, Ayat Abodayeh, Vishesh Kumar, Cynthia Breazeal |
AAAI | 1 |