Outputs (2145)

Design and Evaluation of a Tool to assist Small-Medium Organisations (SMOs) to implement Automated Decision-Making (ADM). (2024)
Presentation / Conference Contribution
Baguley, K., Fischer, J., & Hyde, R. (2024, September). Design and Evaluation of a Tool to assist Small-Medium Organisations (SMOs) to implement Automated Decision-Making (ADM). Presented at Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas

We present a new prototype tool intended to enable SMOs without specialist expertise in the area to implement Automated Decision-Making (ADM) with confidence. We report on the design and (briefly) evaluation of the tool, demonstrating the potential u... Read More about Design and Evaluation of a Tool to assist Small-Medium Organisations (SMOs) to implement Automated Decision-Making (ADM)..

Reimagining the Design of Mobile Robotic Telepresence: Reflections from a Hybrid Design Workshop (2024)
Presentation / Conference Contribution
Reyes-Cruz, G., Martinez Avila, J., Schneiders, E., & Boudouraki, A. (2024, September). Reimagining the Design of Mobile Robotic Telepresence: Reflections from a Hybrid Design Workshop. Presented at TAS '24: Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

Mobile robotic telepresence systems have been around for more than a decade, promising to improve on traditional video conferencing by enabling remote movement, and more recently, providing autonomous features for navigation, yet their use in the rea... Read More about Reimagining the Design of Mobile Robotic Telepresence: Reflections from a Hybrid Design Workshop.

Measurable Trust: The Key to Unlocking User Confidence in Black-Box AI (2024)
Presentation / Conference Contribution
Palazzolo, P., Stahl, B., & Webb, H. (2024, September). Measurable Trust: The Key to Unlocking User Confidence in Black-Box AI. Presented at Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

Given the pervasive integration of artificial intelligence (AI) into our daily lives, establishing public trust is paramount for maximizing AI's benefits and ensuring its responsible use. This research proposes an investigation into the feasibility o... Read More about Measurable Trust: The Key to Unlocking User Confidence in Black-Box AI.

Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature (2024)
Presentation / Conference Contribution
Clos, J., & Chen, Y. Y. (2024, September). Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS ’24), Austin, Texas

Generative artificial intelligence (AI) has become one of the main concerns of knowledge workers due to its ability to mimic realistic human reasoning and creativity. However, this integration raises critical concerns about trust and ethics, which ar... Read More about Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature.

Responsible AI in policing (2024)
Presentation / Conference Contribution
Webb, H., Fitzroy-Dale, N., Aqeel, S., Piskopani, A.-M., Stafford-Fraser, Q., Dowthwaite, L., McAuley, D., & Hargreaves, C. (2024, September). Responsible AI in policing. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS '24), Austin, Texas, USA

The deployment of AI-driven technologies in policing is often welcomed as an opportunity to enhance efficiency in dealing with crime. At the same time, however, these technologies pose risks around data bias, data protection, accuracy and privacy. In... Read More about Responsible AI in policing.

A Taxonomy of Domestic Robot Failure Outcomes: Understanding the impact of failure on trustworthiness of domestic robots (2024)
Presentation / Conference Contribution
Cameron, H. R., Castle-Green, S., Chughtai, M., Dowthwaite, L., Kucukyilmaz, A., A. Maior, H. A., Ngo, V., Schneiders, E., & C. Stahl, B. (2024, September). A Taxonomy of Domestic Robot Failure Outcomes: Understanding the impact of failure on trustworthiness of domestic robots. Presented at Trustworthy Autonomous Systems International Symposium '24, Austin, Texas, USA

Domestic robots are fast becoming an integrated part of daily life. In anticipation of increased uptake of robotic assistants in the home, researchers and designers must investigate what makes domestic robotic interventions trustworthy or untrustwort... Read More about A Taxonomy of Domestic Robot Failure Outcomes: Understanding the impact of failure on trustworthiness of domestic robots.

An Interdependence Frame for (Semi) Autonomous Robots: The Case of Mobile Robotic Telepresence (2024)
Presentation / Conference Contribution
Boudouraki, A., & Reyes-Cruz, G. (2024, September). An Interdependence Frame for (Semi) Autonomous Robots: The Case of Mobile Robotic Telepresence. Presented at TAS '24: Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

Technological advancements often promise to alleviate our reliance on one another through automating assistance. One such example is Mobile Robotic telePresence (MRP), which gives users the ability to move independently, whilst having a video call, b... Read More about An Interdependence Frame for (Semi) Autonomous Robots: The Case of Mobile Robotic Telepresence.

The Earth, Brain, Health Commission: how to preserve mental health in a changing environment (2024)
Journal Article
Schumann, G., Barciela, R., Benegal, V., Bernard, A., Desrivieres, S., Feng, J., Gong, P., Heinz, A., Hunt, X., Jin, L., Luterbacher, J., Marquand, A., Meyer-Lindenberg, A., Salomon, J., Schwalber, A., Shetty, S., Stahl, B., & Thompson, P. (2024). The Earth, Brain, Health Commission: how to preserve mental health in a changing environment. nature mental health, 2, 1121–1123. https://doi.org/10.1038/s44220-024-00314-1

Explain the world – Using causality to facilitate better rules for fuzzy systems (2024)
Journal Article
Zhang, T., Wagner, C., & Garibaldi, J. M. (2024). Explain the world – Using causality to facilitate better rules for fuzzy systems. IEEE Transactions on Fuzzy Systems, 1-14. https://doi.org/10.1109/TFUZZ.2024.3457962

The rules of a rule-based system provide explanations for its behaviour by revealing the relationships between the variables captured. However, ideally, we have AI systems which go beyond explainable AI (XAI), that is, systems which not only explain... Read More about Explain the world – Using causality to facilitate better rules for fuzzy systems.

Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: a case study and academic’s guide (2024)
Journal Article
Taher, R., Hall, C. L., Gomez Bergin, A. D., Gupta, N., Heaysman, C., Jacobsen, P., Kabir, T., Kalnad, N., Keppens, J., Hsu, C.-W., McGuire, P., Peters, E., Shergill, S., Stahl, D., Wensley Stock, B., & Yiend, J. (2024). Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: a case study and academic’s guide. Trials, 25, Article 604. https://doi.org/10.1186/s13063-024-08421-1

Background: The field of digital mental health has followed an exponential growth trajectory in recent years. While the evidence base has increased significantly, its adoption within health and care services has been slowed by several challenges, inc... Read More about Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: a case study and academic’s guide.