HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Creativity, Design, and Generative Making / GenAI Critique, Ethics, and Design Methodology Reflection

Users struggle to distinguish manipulative content and misinformation spread by generative AI.

lightbulbPractical problemGenAI Critique, Ethics, and Design Methodology Reflection

Users struggle to distinguish manipulative content and misinformation spread by generative AI.

CUI '24The Voice: Lessons on Trustworthy Conversational Agents from ‘Dune’

Similar questions

lightbulbPractical problemGenAI Critique, Ethics, and Design Methodology Reflection

Existing generative AI tools fail to effectively support non-Western cultural expression, causing cultural marginalization.

CHI '25AI and Non-Western Art Worlds: Reimagining Critical AI Futures through Artistic Inquiry and Situated Dialogue

lightbulbPractical problemGenAI Critique, Ethics, and Design Methodology Reflection

Mainstream generative AI and LLMs often ignore cultural diversity and reflect a single dominant perspective.

CHI '25Ontologies in Design: How Imagining a Tree Reveals Possibilities and Assumptions in Large Language Models

lightbulbPractical problemGenAI Critique, Ethics, and Design Methodology Reflection

Amateur filmmakers struggle to balance generative AI's effects on technical creation and cultural expression.

CHI '25Underground AI? Critical Approaches to Generative Cinema through Amateur Filmmaking

lightbulbPractical problemGenAI Critique, Ethics, and Design Methodology Reflection

Researchers using GenAI lack transparent records of its carbon emission impacts.

CHI '25How CO2STLY Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About It

lightbulbPractical problemGenAI Critique, Ethics, and Design Methodology Reflection

Freelancers feel anxious due to technology hype, damaging career prospects.

CHI '25More Attention, Transformation, Acceleration, and Exploration: Freelance Developers' Take on Hypes

lightbulbPractical problemGenAI Critique, Ethics, and Design Methodology Reflection

Designers struggle to capture and share tacit knowledge in graphic design with existing tools.

CHI '24Demystifying Tacit Knowledge in Graphic Design: Characteristics, Instances, Approaches, and Guidelines

Related papers

AI and Non-Western Art Worlds: Reimagining Critical AI Futures through Artistic Inquiry and Situated Dialogue

Rida Qadri, Piotr Mirowski, Remi Denton

Ontologies in Design: How Imagining a Tree Reveals Possibilities and Assumptions in Large Language Models

Nava Haghighi, Sunny Yu, James A. Landay

Underground AI? Critical Approaches to Generative Cinema through Amateur Filmmaking

Brett A. Halperin, Diana Flores Ruíz, Daniela K. Rosner

How CO2STLY Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About It

Nanna Inie, Jeanette Falk, Raghavendra Selvan

More Attention, Transformation, Acceleration, and Exploration: Freelance Developers' Take on Hypes

Mateusz Dolata, Norbert Lange, Gerhard Schwabe

Demystifying Tacit Knowledge in Graphic Design: Characteristics, Instances, Approaches, and Guidelines

Kihoon Son, DaEun Choi, Tae Soo Kim

A temporal vocabulary of Design Events for Research through Design

Doenja Oogjes, Audrey Desjardins

Felt Ethics: Cultivating Ethical Sensibility in Design Practice

Rachael Garrett, Kristina Popova, Claudia Núñez-Pacheco

Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI Challenges

Qiaosi Wang, Michael Madaio, Shaun Kane

Informing Age-Appropriate AI: Examining Principles and Practices of AI for Children

Ge Wang, Jun Zhao, Max Van Kleek

How HCI Adopts Service Design: Unpacking Current Perceptions and Scopes of Service Design in HCI and Identifying Future Opportunities

Jung-Joo Lee, Christine Ee Ling Yap, Virpi Roto

Diffraction-in-action: Designerly Explorations of Agential Realism Through Lived Data

Pedro Sanches, Noura Howell, Vasiliki Tsaknaki