Demo Data from EDBT 2026 / reviewers in the wild / expert
Achi Mishra
dblp:355/8433
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0002-5798-025XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 2 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
2 papers |
Human-AI interaction · 50% Accessibility and assistive technology · 38% Design research and methods · 12% |
Topics — the 2 heaviest of 4, 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 | Speculative Fiction for Interdisciplinary, Proactive, and Publicly Engaged AI Ethics · CHI 2026 |
Accessibility and assistive technology › assistive technology
AI for accessibility |
1.0 | 1 | 2026 | Rhetoric vs Responsibility: How Tech Companies Shape AI for Accessibility · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
critical discourse analysis · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Rhetoric vs Responsibility: How Tech Companies Shape AI for AccessibilityabstractArtificial Intelligence (AI) is often framed as a transformative approach for improving accessibility, with major technology companies investing considerable resources into AI applications targeting disabled users. This investment in AI for accessibility has many benefits but remains relatively unquestioned. Through a critical discourse analysis of 126 public-facing blog posts and news articles by leading U.S.-based AI companies, our analysis reveals the ways in which technology companies render different modes of disabled participation, bestow agency upon AI as a competent and capable actor, reinforce their role in shaping AI futures, and legitimize the development of AI for accessibility. By examining tech companies’ AI visions alongside Critical Disability Studies scholarship, we discuss concerns with framing AI as a means to “solve” disability-related challenges while sidestepping deeper structural questions about equity, agency, and responsibility. Aparajita Marathe, Achi Mishra, Anne Marie Piper |
CHI | 3 |
| 2026 | Speculative Fiction for Interdisciplinary, Proactive, and Publicly Engaged AI Ethics
Achi Mishra, Daniel Kellogg, Gio Jones, Heather Bentley, Darren Gergle, Duri Long |
CHI | 1 |