Aditya Vashistha

About

Aditya Vashistha is an assistant professor in information science at Cornell Bowers, where he advises students in information science and computer science. He leads the Cornell Global AI Initiative – an interdisciplinary, university-wide effort to integrate global perspectives into the design, development, evaluation, and governance of AI technologies. Vashistha’s research aims to design, build, and evaluate globally equitable AI technologies to improve socioeconomic outcomes for historically marginalized communities. His research lies at the intersection of human-computer interaction (HCI), ICT & Development (ICTD), human-centered AI (HAI), and social computing. He is the recipient of numerous awards, including Cornell’s Faculty Award for Excellence in Research, Teaching, and Service through Diversity. Before joining the Cornell faculty, he completed a Ph.D. in computer science and engineering at the University of Washington, where his dissertation was recognized with the William Chan Memorial Dissertation Award and the WAGS/ProQuest Innovation in Technology Award.

Research topics

• Computer Science
• Sociology
• Political Science
• Psychology
• Public relations
• Internet privacy
• World Wide Web
• Engineering
• Medicine
• Social Science

Selected publications

• “It cannot do all of my work”: Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India

  2021 · 79 citations

  Senior authorCorresponding

  Recent advances in Artificial Intelligence (AI) suggest that AI applications could transform healthcare delivery in the Global South. However, as researchers and technology companies rush to develop AI applications that aid the health of marginalized communities, it is critical to consider the needs and perceptions of the community health workers (CHWs) who will have to integrate these AI applications into the essential healthcare services they provide to rural communities. We describe a qualita…

  DOI

• “Can I Not Be Suicidal on a Sunday?”: Understanding Technology-Mediated Pathways to Mental Health Support

  2021 · 55 citations

  of a point of care might interact with subsequent pathways to care. We investigate how the design of the Indian mental health helpline system interacts with complex sociocultural factors to marginalize caller needs. We draw on interviews with 18 helpline stakeholders, including individuals who have engaged with helplines in the past, shedding light on how they navigate both technological and structural barriers in pursuit of relief. Finally, we use a design justice framework rooted in Amartya Se…

  DOI

• ”It Matches My Worldview”: Examining Perceptions and Attitudes Around Fake Videos

  CHI Conference on Human Factors in Computing Systems · 2022 · 35 citations

  Senior authorCorresponding

  We present a qualitative study with 36 diverse social media users in India to critically examine how low-resource communities engage with fake videos, including cheapfakes and AI-generated deepfakes. We find that most users are unaware of digitally manipulated fake videos and perceive videos to be fake only when they present inaccurate information. Few users who know about doctored videos expect them to be of poor quality and know nothing about sophisticated deepfakes. Moreover, most users lack…

  DOI

• Nothing Micro About It: Examining Ableist Microaggressions on Social Media

  2022 · 33 citations

  Senior authorCorresponding

  Ableist microaggressions are subtle forms of discrimination that disabled people experience daily, perpetuating inequalities and maintaining their ongoing marginalization. Despite the importance of understanding such harms, little work has been done to examine how disabled people are discriminated against online. We address this gap by investigating how disabled people experience ableist microaggressions on social media and how they respond to and cope with these experiences. By conducting inter…

  DOI

• "I Go Beyond and Beyond" Examining the Invisible Work of Home Health Aides

  Proceedings of the ACM on Human-Computer Interaction · 2023 · 29 citations

  Home health aides are paid professionals who provide long-term care to an expanding population of adults who need it. However, aides' work is often unrecognized by the broader caregiving team despite being in demand and crucial to care---an invisibility reinforced by ill-suited technological tools. In order to understand the invisible work aides perform and its relationship to technology design, we interviewed 13 aides employed by home care agencies in New York City. These aides shared examples…

  PublisherDOI

Frequent coauthors

• Nicola Dell

  Cornell University

  19 shared

• Richard Anderson

  University of Washington

  14 shared

• William Thies

  10 shared

• Edward Cutrell

  Microsoft (United States)

  10 shared

• Farhana Shahid

  8 shared

• Kalika Bali

  6 shared

• Rama Adithya Varanasi

  New York University

  6 shared

• Madeline R. Sterling

  Cornell University

  6 shared

Labs

• Graduate Student GroupsPI

Awards & honors

• Cornell’s Faculty Award for Excellence in Research, Teaching…
• William Chan Memorial Dissertation Award
• WAGS/ProQuest Innovation in Technology Award

Similar researchers at Cornell University

• Jon Kleinbergh-122
• Deborah Estrinh-120
• Wen Sunh-102