AJung Moon

Responsible Humanoids: A Contradiction in Terms?

Séverin Lemaignan

Simon Coghlan

Emily C. Collins

Vanessa Evers

Nico Hochgeschwender

Sara Ljungblad

Michael Milford

Sarah Moth-Lund Christensen

Francisco J. Rodríguez Lera

Pericle Salvini

Yi Yang

In this paper, we critically examine the current "humanoid hype" in robotics, questioning its alignment with responsible robotics principles… (voir plus). While technical challenges drive internal fascination, the pervasive public image of humanoids demands deeper HRI engagement. We explore how responsible robotics concepts, such as privacy, dignity, and trust, are uniquely challenged or overlooked in the pursuit of anthropomorphic robot forms. By dissecting this hype, and mapping the main findings of the recently-published Roadmap for Responsible Robotics to the humanoids field, we aim to move beyond technical form-factor obsessions to understand the true societal implications and identify potential blind spots for the HRI community.

2026-03-15

IEEE/ACM Conference on Human-Robot Interaction (publié)

Understanding Social Appropriateness Perceptions in Secondary Users of Domestic Robots

Rahatul Amin Ananto

Seol Han

Rachel Ruddy

A new generation of robots are being developed to enter our homes in a matter of months. But has the industry appropriately accounted for th… (voir plus)e complexities of the social environment that we call home? We conducted an exploratory design workshop to examine what secondary users—those who are not expected to be owners but nonetheless daily users—deem to be socially appropriate behavior of a domestic robot. A total of 90 students from Mexico participated in the study. By analyzing they define and reason about appropriateness of robot behaviors in the home, we show why deployment of domestic robots require much more thoughtful considerations than implementation of simplified social rules; judgments of what is appropriate depend on context, roles, relationships, and individual boundaries, and can differ between primary and secondary users. We call on Human-Robot Interaction (HRI) practitioners to treat social appropriateness as a fluid, gradient factor at design time rather than a binary concept (appropriate/inappropriate).

2026-03-15

International Conference on Human-Robot Interaction (publié)

Responsible AI measures dataset for ethics evaluation of AI systems

Renee Shelby

Meaningful governance of any system requires the system to be assessed and monitored effectively. In the domain of Artificial Intelligence (… (voir plus)AI), global efforts have established a set of ethical principles, including fairness, transparency, and privacy upon which AI governance expectations are being built. The computing research community has proposed numerous means of measuring an AI system's normative qualities along these principles. Current reporting of these measures is principle-specific, limited in scope, or otherwise dispersed across publication platforms, hindering the domain's ability to critique its practices. To address this, we introduce the Responsible AI Measures Dataset, consolidating 12,067 data points across 791 evaluation measures covering 11 ethical principles. It is extracted from a corpus of computing literature (n = 257) published between 2011 and 2023. The dataset includes detailed descriptions of each measure, AI system characteristics, and publication metadata. An accompanying, interactive visualization tool supports usability and interpretation of the dataset. The Responsible AI Measures Dataset enables practitioners to explore existing assessment approaches and critically analyze how the computing domain measures normative concepts.

2025-12-19

Scientific Data (publié)

Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms

Renee Shelby

Over the past decade, an ecosystem of measures has emerged to evaluate the social and ethical implications of AI systems, largely shaped by … (voir plus)high-level ethics principles. These measures are developed and used in fragmented ways, without adequate attention to how they are situated in AI systems. In this paper, we examine how existing measures used in the computing literature map to AI system components, attributes, hazards, and harms. Our analysis draws on a scoping review resulting in nearly 800 measures corresponding to 11 AI ethics principles. We find that most measures focus on four principles – fairness, transparency, privacy, and trust – and primarily assess model or output system components. Few measures account for interactions across system elements, and only a narrow set of hazards is typically considered for each harm type. Many measures are disconnected from where harm is experienced and lack guidance for setting meaningful thresholds. These patterns reveal how current evaluation practices remain fragmented, measuring in pieces rather than capturing how harms emerge across systems. Framing measures with respect to system attributes, hazards, and harms can strengthen regulatory oversight, support actionable practices in industry, and ground future research in systems-level understanding.

2025-10-14

Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (publié)

Opening the Scope of Openness in AI

Tamara Paris

Jin L.C. Guo

2025-06-22

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (publié)

Roboethics for Everyone – A Hands-On Teaching Module for K-12 and Beyond

In this work, we address the evolving landscape of roboethics, expanding beyond physical safety to encompass broader societal implications. … (voir plus)Recognizing the siloed nature of existing initiatives to teach and inform ethical implications of artificial intelligence (AI) and robotic systems, we present a roboethics teaching module designed for K-12 students and general audiences. The module focuses on the high-level analysis of the interplay between robot behaviour design choices and ethics, using everyday social dilemmas. We delivered the module in a workshop to high school students in Montreal, Canada. From this experience, we observed that the module successfully fostered critical thinking and ethical considerations in students, without requiring advanced technical knowledge. This teaching module holds promise to reach a wider range of populations. We urge the education community to explore similar approaches and engage in interdisciplinary training opportunities regarding the ethical implications of AI and robotics.

2024-12-19

Proceedings of the Canadian Engineering Education Association (CEEA) (publié)

From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems

Shalaleh Rismani

Roel Dobbe

2024-10-28

ArXiv (prépublication)

How different mental models of AI-based writing assistants impact writers’ interactions with them

Shalaleh Rismani

Su Lin Blodgett

A.R. Olteanu

Q. Vera Liao

2024-05-10

Proceedings of the Third Workshop on Intelligent and Interactive Writing Assistants (publié)

Investigating Robot Influence on Human Behaviour By Leveraging Entrainment Effects

Lixiao Zhu

2024-03-10

Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (publié)

Perspectives on Robotic Systems for the Visually Impaired.

Joseph Paul Nemargut

Many roboticists hope to build robots and develop technologies that would one day help vulnerable populations to improve their quality of li… (voir plus)fe. As there are over 2.2 billion people with visual impairments in the world, this vulnerable population is a prime target for robotic assistants to help. In a discussion with a Certified Orientation and Mobility Specialist, someone who helps individuals with visual impairments navigate and perform daily tasks effectively, some interesting and counterintuitive questions were raised about technological developments, particularly robots. While these devices were meant to help the BVI population, many are, in reality, not practically beneficial. In this article, we highlight certain misconceptions about the BVI population and their needs. We emphasize the mismatch between robotics research and the needs of the individuals with visual impairments, especially from the lens of HRI researchers.

2024-03-10

Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (publié)

Socially Assistive Robots for patients with Alzheimer's Disease: A scoping review.

Vania Karami

Mark J. Yaffe

Genevieve Gore

S. A. Rahimi

2024-02-29

Archives of gerontology and geriatrics (Print) (publié)