Google Society-Centered AI Research Awardees

Empowering Inclusive E-Deliberation by Harnessing Collective Wisdom and Minority Perspectives : Ana Maguitman, Universidad Nacional del Sur
Carlos Chesnevar, Universidad Nacional del Sur, Argentina

WorldScribe: Context-Aware Live Visual Descriptions for Blind People: Anhong Guo, University of Michigan, USA

HumAIne: Building Society-Centered Responsible AI Open Educational Resources: Anna Feigenbaum, Bournemouth University Edward Apeh, Bournemouth University, UK

Empowering Information Access Rights: Developing a Trilingual Translation System for English, Nepali, and Tamang: Bal Krishna Bal, Kathmandu University
Balaram Prasain, Tribhuvan University, Nepal

For Us By Us: AI Assistants for the Black Lived Experience: Brittany Johnson-Matthews, George Mason University
Angela Smith, University of Texas at Austin, USA

Leveraging Local Language & Culture within AI Applications for People with Communication Challenges in Africa: Catherine Holloway, University College London, Giulia Barbareschi, Keio University, Japan

Contextualizing LLMs use for women’s sexual and reproductive health support in Indonesia: Derry Wijaya, Monash University, Ika Idris, Monash University, Australia

Enhancing Auditory Scene Understanding for Deaf and Hard of Hearing People: Dhruv Jain, University of Michigan, USA

MI-OB-Now, Advancing Access to Reproductive Health Information with Gen-AI Clinical Messaging Systems: Elizabeth Bondi-Kelly, University of Michigan Alex Peahl, University of Michigan, USA

A Direct Speech-to-Speech Model for English-to-Yoruba Translation Towards Bridging Language Barriers in Public Health Education Outreaches: Emmanuel ADETIBA, Covenant University, Ota, Ogun State, Nigeria

A Co-designed AI Solution using Aboriginal Women’s Lived Experience to Improve Perinatal Mental Health Screening Outcomes: Guanjin Wang, Murdoch University Jayne Kotz, Murdoch University, Australia

Exploring AI-Enhanced Mixed-Ability Social Interactions: Jacob Wobbrock, University of Washington, Jon Froehlich, University of Washington, USA

Personalized Indigenous Rice Recommender System for Enhancing Societal Health and Nutrition using GraphRAG and Explainable AI: Jagan Mohan Obbineni, Vellore Institute of Technology, Ilanthenral Kandasamy, Vellore Institute of Technology, India

Generative Ghosts: Empirically evaluating a design space for death and generative agents: Jed Brubaker, University of Colorado, USA

AI-Empowered Teledentistry for Equitable Healthcare Access in Malawi’s Secondary School Communities: Jerry Li-Chia Tai, National Yang Ming Chiao Tung University, Taiwan, Chukwuebuka Ogwo, Temple University, USA

Community weavers of artificial intelligence and nature-based solutions. A grassroots-participatory AI approach to urban transformations towards sustainability: Jesús M Siqueiros, Universidad Nacional Autónoma de México
Carlos Hernández, Universidad Nacional Autónoma de México, Mexico

Using GenAI to Develop Low-Cost Accessible Switches of Individuals with Complex Disabilities: Karen Cochrane, University of Waterloo
Daniel Harley, University of Waterloo, Canada

Large Language Model Development for Low-Resource Languages in Southeast Asia: Lessons from Thailand: Kathryn Henne, Australian National University, Sarah Logan, Australian National University, Australia

Participatory AI Measurement Design, Supporting Early Stakeholder Engagement in the Design of AI Measurements: Ken Holstein, Carnegie Mellon University, Haiyi Zhu, Carnegie Mellon University, USA

Empowering teachers with AI for participatory bias assessment of language technologies: Scaling teachers’ engagement to Latin America: Luciana Benotti, Universidad Nacional de Córdoba, Laura Alonso Alemany, Universidad Nacional de Córdoba, Argentina

PARTICIP-AI: Studying Lay People’s Needs, Judgments, and Impact: Maarten Sap, Carnegie Mellon University, USA

Native American Bias and Cultural-responsiveness in Large Language Models: Mai ElSherief, Northeastern University, Morgan Vigil-Hayes, Northern Arizona University, USA

APPA: AI Antenatal and Postnatal Pregnancy Assistant: Maryam Mustafa, Lahore University of Management Sciences, Pakistan, Beena Ahmed, University of New South Wales, Australia

A Generative AI Enabled System for 9-1-1 Call-taker Training: Meiyi Ma, Vanderbilt University, USA

Bias Awareness and Mitigation in Breast Cancer Risk Prediction for Marginalized Groups through Participatory AI: Motahhare Eslami, Carnegie Mellon University, Kayhan Batmanghelich, Boston University, USA

Connecting the Disconnected: An AI-driven mentor to empower youth to engage in social prescribing: Nikki Rickard, University of Melbourne, Simon D'Alfonso, University of Melbourne, Australia

Empowering Smallholder Farmers Through Personalized Engagement: Ryan Shi, University of Pittsburgh, USA

Building a Framework and Toolkit for Effective Participatory AI Engagement in Hard-to-Reach Populations: A Case Study in Leveraging AI to Empower Underserved Patients in Understanding and Using their Medical Records: Tera Reynolds, University of Maryland - Baltimore County, USA

Generating textual resources to foster the development of language technologies for Mayan languages: Víctor Manuel Sánchez Cartagena, University of Alicante, Spain

Improving Accessibility of Legal Documents with AI to Support Civil Rights Litigation: Wei Xu, Georgia Institute of Technology, Charlotte Alexander, Georgia Institute of Technology, USA

Youth Perceptions and Use of AI Using a Nationally Representative Sample: Gillian R. Hayes, University of California, Irvine

Secondhand Economies and their Algorithmic Ecosystems: Carl DiSalvo, Georgia Institute of Technology

Community-Driven Anticipation of AI Impacts: Ben Green, University of Michigan, Tawanna Dillahunt, University of Michigan

Developing a Community-Centered Culturally-Aligned Data Visualization Framework in Rural Bangladesh: Syed Ishtiaque Ahmed, University of Toronto

Conversational Patterns for Inclusive Prompt Engineering: Maristella Matera, Politecnico di Milano, Salvatore Andolina, Politecnico di Milano

Toward multimodal generalist AI for portable ultrasound to support frontline healthcare workers in Ethiopia: Bryan Ranger, Boston College

Understanding and Co-Designing Responsible Generative AI Tools with Historically Marginalized Communities in South Africa and Kenya: Dr. Morgan Wack, Clemson University, Sukrit Venkatagiri, University of Washington

AI-driven Monitoring of Attitude Polarization in Conflict-Affected Countries for Inclusive Peace Process and Women’s Empowerment: Chris Biemann, University of Hamburg, Adem Chenie Ali, Bahir Dar University, Ethiopia

Designing Equitable MR Computing Futures with Recently Incarcerated and Gang Affiliated Black and Latino/a youth - Community Based Participatory Design at Homeboy Industries Art Academy: Kurt Squire, University of California, Irvine

Including Latin American Culture in Music Information Research: Magdalena Fuentes, New York University

Towards culturally-sensitive design of conversational AI for community health: Azra Ismail, Emory University

Collaborative Development of AI Solution for Scaling Up Adolescent Access to Sexual and Reproductive Health Education and Services in Uganda: Rahman Sanya, Makerere University, Stella Achen, Makerere University

A Data-Centric Approach to Improve Geographic Equity in Geospatial ML: Hannah Kerner, Arizona State University

AI-assisted Distributed Collaborative Indoor Pollution Meters: A Case Study, Requirement Analysis, and Low-cost Healthy Home Solution for Indian Slums: Sandip Chakraborty, Indian Institute of Technology Kharagpur

Collectively Reimagining Chatbots and Voice-based automation for Content Creation tools from the “Margins” in South Africa and India: Melissa Densmore, University of Cape Town, Naveen Bagalkot, Srishti Manipal Institute of Art, Design & Technology

CREOLE: Creating Resources for Disadvantaged Language Communities: Johannes Bjerva, Aalborg University, Heather Christine Lent, Aalborg University

Bridging Service Gaps in Aboriginal Perinatal Mental Health: An Embeddable Interpretable Generative AI Approach: Dr Guanjin Wang, Murdoch University, Dr Jayne Kotz, Murdoch University

Empowering Indigenous Language Learning through Co-created Knowledge Graph: John Bradley, Monash University, Lele Sha, Monash University