HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Fairness, Bias, and Research Governance / Algorithmic Decision Accountability, Contestability, and User Auditing

How can designers enhance ethical imagination through a systematic framework when designing virtual assistants to avoid potential issues?

helpResearch questionAlgorithmic Decision Accountability, Contestability, and User Auditing

How can designers enhance ethical imagination through a systematic framework when designing virtual assistants to avoid potential issues?

CUI '22Assistant or Master: Envisioning the User Autonomy Implications of Virtual Assistants

Similar questions

helpResearch questionAlgorithmic Decision Accountability, Contestability, and User Auditing

What geographic and socioeconomic biases do LLMs exhibit when recommending U.S. cities and towns?

IUI '25Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models

helpResearch questionAlgorithmic Decision Accountability, Contestability, and User Auditing

Do these biases affect fair decision-making for low-income or marginalized groups?

IUI '25Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models

helpResearch questionAlgorithmic Decision Accountability, Contestability, and User Auditing

How can audit methods analyze and reveal distributional inequality in LLM geographic recommendations?

IUI '25Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models

helpResearch questionAlgorithmic Decision Accountability, Contestability, and User Auditing

In HCI, what specific application domains and scenarios are LLMs suited for?

CHI '25Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review

helpResearch questionAlgorithmic Decision Accountability, Contestability, and User Auditing

How do researchers use LLMs in papers, and what usage patterns and roles exist?

CHI '25Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review

helpResearch questionAlgorithmic Decision Accountability, Contestability, and User Auditing

What types of contributions have LLMs made in HCI?

CHI '25Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review

Related papers

Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models

Shiran Dudy, Thulasi Tholeti, Resmi Ramachandranpillai

Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review

Rock Yuren Pang, Hope Schroeder, Kynnedy Simone Smith

RiskRAG: A Data-Driven Solution for Improved AI Model Risk Reporting

Pooja S. B. Rao, Sanja Scepanovic, Ke Zhou

Lay Perceptions of Algorithmic Discrimination in the Context of Systemic Injustice

Gabriel Lima, Nina Grgić-Hlača, Markus Langer

AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development

Devansh Saxena, Ji-Youn Jung, Jodi Forlizzi

Generative AI Uses and Risks for Knowledge Workers in a Science Organization

Kelly B. Wagman, Matthew T Dearing, Marshini Chetty

Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives

Meredith Ringel Morris, Jed R. Brubaker

Towards Effective Human Intervention in Algorithmic Decision-Making: Understanding the Effect of Decision-Makers' Configuration on Decision-Subjects' Fairness Perceptions

Mireia Yurrita, Himanshu Verma, Agathe Balayn

Building an Ethics-Focused Action Plan: Roles, Process Moves, and Trajectories

Colin M. Gray, Ike Obi, Shruthi Sai Chivukula

(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court

Angela Jin, Niloufar Salehi

(Un)making AI Magic: A Design Taxonomy

Maria Luce Lupetti, Dave Murray-Rust

"This is not a data problem": Algorithms and Power in Public Higher Education in Canada

Kelly McConvey, Shion Guha