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Catalyzing Safe and Equitable Use of Artificial Intelligence in Home Health Care Work.The goal of this qualitative study is to understand the perspectives and experiences of home care workers (HCWs) and other key stakeholders towards current and near-future artificial intelligence (AI) deployment in home care work.Emerging AI systems promise home care agencies, insurance companies, and public funders such as Medicaid and Medicare, immense gains in efficiency and cost savings through automation, including via patientcare worker matching, shift scheduling and coordination, predicting patient health, tracking worker performance, and more.However, without proper safeguards, AI systems deployed in these sensitive contexts could also have unintended negative consequences that harm HCWs and their patients.

Culture of Trust: How Interactions Around Contentious Issues Affect Trust in the Workplace.This project seeks to identify ways nonprofit leaders, especially those working in museums, can support and build trust even when working through contentious issues.Because they are called upon to address social issues, museums provide a microcosm for studying trust in the organization. Modern museums are tackling issues such as unionization, climate change, racism, restitution of cultural artifacts, and sources of donor wealth. For organizations that have traditionally thought of themselves as neutral ground in their community, this is a challenge one that recalls the social revolution of the late 1960s and 1970s in the US, which led to a redefinition of museums from collecting to educational organizations. Findings from this study will support the development of strategies for building, supporting, and repairing trust between nonprofit leaders and staff when contentious issues arise.

Tech Effects on Job Quality: Understanding and Mitigating Impacts.The purpose of the project is to uncover how different demographic and occupational groups experience job quality changes with the introduction of automation. Researchers will leverage a large-scale survey of UK workers to conduct their analysis. Current assumptions about the impact of automation on labor tend to be reduced to two perspectives: Automation will either completely displace labor or require labor to be retrained or upskilled to work with automation. The researchers in this project believe that we need more nuanced models that explore how choices about design, development, and deployment come together to produce different outcomes. Such approaches would also allow us to better examine who is benefitting from new technology and in what ways.The research is expected to provide valuable insights to help businesses, unions, policymakers, and regulators develop targeted strategies that ensure technology adoption l

Future of Work Fellowship. This grant is to support the ILR Future of Work Fellowships at Cornell University. The Future of Work Fellowship Program is funded by an alumni gift and supports postdoctoral researchers and doctoral students who work with Cornell ILRs faculty on innovative research projects related to the future of work.

Innovative Learning Approaches in Healthcare. This project explores how two innovative learning approaches first-person perspective, point-of-view (POV) storytelling and AI-powered conversational tools can transform workplace dynamics in healthcare settings.For decades, healthcare education has relied primarily on traditional approacheslectures, presentations, and text-based learning. While these methods effectively communicate information, they often fail to create the emotional and experiential connections needed to truly transform behavior in high-stakes, interpersonal healthcare settings.At the same time, research has consistently demonstrated that experiential learning coupled with reflective practice leads to significantly higher learning retention rates and behavior change. When learners actively engage with content that triggers emotional responses and then have opportunities to practice new approaches in a safe environment, the learning becomes embedded in both cognitive and e