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All Outputs (20)

A Responsible Research and Innovation Approach to Assessing the Implications of Anti-Trafficking Technologies (2025)
Journal Article
Moyo, T., Albayaydh, W., Webb, H., Gunes, O., & Jirotka, M. (2025). A Responsible Research and Innovation Approach to Assessing the Implications of Anti-Trafficking Technologies. ACM Journal on Responsible Computing, https://doi.org/10.1145/3737883

Responsible Research and Innovation (RRI) is crucial to address the risks associated with emerging technologies with the aim of minimising negative consequences and promoting positive outcomes. This paper uses RRI principles and semi-structured inter... Read More about A Responsible Research and Innovation Approach to Assessing the Implications of Anti-Trafficking Technologies.

DFPulse: The 2024 digital forensic practitioner survey (2024)
Journal Article
Hargreaves, C., Breitinger, F., Dowthwaite, L., Webb, H., & Scanlon, M. (2024). DFPulse: The 2024 digital forensic practitioner survey. Forensic Science International: Digital Investigation, 51, Article 301844. https://doi.org/10.1016/j.fsidi.2024.301844

This paper reports on the largest survey of digital forensic practitioners to date (DFPulse) conducted from March to May 2024 resulting in 122 responses. The survey collected information about practitioners' operating environments, the technologies t... Read More about DFPulse: The 2024 digital forensic practitioner survey.

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.

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.

Implementing responsible innovation: the role of the meso-level(s) between project and organisation (2024)
Journal Article
Stahl, B. C., Portillo, V., Wagner, H., Craigon, P. J., Darzentas, D., De Ossorno Garcia, S., Dowthwaite, L., Greenhalgh, C., Middleton, S. E., Nichele, E., Wagner, C., & Webb, H. (2024). Implementing responsible innovation: the role of the meso-level(s) between project and organisation. Journal of Responsible Innovation, 11(1), Article 2370934. https://doi.org/10.1080/23299460.2024.2370934

Much of academic discussion of responsible innovation (RI) has focused on RI integration into research projects. In addition, significant attention has also been paid to RI structures and policies at the research policy and institutional level. This... Read More about Implementing responsible innovation: the role of the meso-level(s) between project and organisation.

“It becomes more of an abstract idea, this privacy” – Informing the design for communal privacy experiences in smart homes (2023)
Journal Article
Kraemer, M. J., Chalhoub, G., Webb, H., & Flechais, I. (2023). “It becomes more of an abstract idea, this privacy” – Informing the design for communal privacy experiences in smart homes. International Journal of Human-Computer Studies, 180, Article 103138. https://doi.org/10.1016/j.ijhcs.2023.103138

In spite of research recognizing the home as a shared space and privacy as inherently social, privacy in smart homes has mainly been researched from an individual angle. Sometimes contrasting and comparing perspectives of multiple individuals, resear... Read More about “It becomes more of an abstract idea, this privacy” – Informing the design for communal privacy experiences in smart homes.

Digitally Un/Free: the everyday impact of social media on the lives of young people (2023)
Journal Article
Bibizadeh, R. E., Procter, R., Girvan, C., Webb, H., & Jirotka, M. (2025). Digitally Un/Free: the everyday impact of social media on the lives of young people. Learning, Media and Technology, 50(2), 205-218. https://doi.org/10.1080/17439884.2023.2237883

This article offers an original contribution to the crucial question of how digital media impacts children and young people’s everyday lives. Focus groups with young people aged 11–21 years, and interviews with teachers in schools in England revealed... Read More about Digitally Un/Free: the everyday impact of social media on the lives of young people.

Navigating the labyrinth of RI through a practical application — A case study in a cross-disciplinary research project (2023)
Journal Article
Zhao, J., Patel, M., Inglesant, P., Portillo, V., Webb, H., Dowthwaite, L., Fiddi, P., Legastelois, B., Perez Vallejos, E., Rovatsos, M., & Jirotka, M. (2023). Navigating the labyrinth of RI through a practical application — A case study in a cross-disciplinary research project. Journal of Responsible Technology, 15, Article 100064. https://doi.org/10.1016/j.jrt.2023.100064

Responsible Innovation (RI) aims to enable research and innovation to take a more systematic approach to anticipating potential risks and consequences of planned research/innovative outputs. The Anticipation, Reflection, Engagement and Action (AREA)... Read More about Navigating the labyrinth of RI through a practical application — A case study in a cross-disciplinary research project.

Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care (2023)
Presentation / Conference Contribution
Piskopani, A. M., Webb, H., & Caleb-Solly, P. (2023, July). Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care. Presented at TAS '23: First International Symposium on Trustworthy Autonomous Systems, Edinburgh, UK

Robotics and Artificial Intelligence (RAI) offers the opportunity to ameliorate the quality of life for people with health issues. However, there are still considerable barriers linked to the lack of acceptance of these technologies, particularly as... Read More about Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care.

Five Provocations for a More Creative TAS (2023)
Presentation / Conference Contribution
Benford, S., Hazzard, A., Vear, C., Webb, H., Chamberlain, A., Greenhalgh, C., Ramchurn, R., & Marshall, J. (2023, July). Five Provocations for a More Creative TAS. Presented at First International Symposium on Trustworthy Autonomous Systems (TAS 23), Edinburgh, UK

Conventional wisdom has it that trustworthy autonomous systems (AS) should be explainable, dependable, controllable and safe tools for humans to use. Reflecting on a portfolio of artistic applications of TAS leads us adopt an alternative stance and t... Read More about Five Provocations for a More Creative TAS.

“It’s not just for the Past but it’s for the Here and Now”: Gift-Giver Perspectives on the Memory Machine to Gift Digital Memories (2023)
Presentation / Conference Contribution
Gibson, R., Babbage, C. M., Wagner, H. G., Price, D. J., Martindale, S., Chadborn, N. H., Ito-Jaeger, S., Darzentas, D. P., Webb, H., Jacobs, R., Atabey, A., Koleva, B., Flintham, M., Winklhofer, H., Urquhart, L. D., & Perez Vallejos, E. (2023, July). “It’s not just for the Past but it’s for the Here and Now”: Gift-Giver Perspectives on the Memory Machine to Gift Digital Memories. Presented at DIS '23: Designing Interactive Systems Conference, Pittsburgh, USA

We present the design of the Memory Machine (MeMa), a technology probe that can store, contextualise, and document media to represent memories. We accumulate vast physical and digital possessions throughout our lives, making it difficult to distingui... Read More about “It’s not just for the Past but it’s for the Here and Now”: Gift-Giver Perspectives on the Memory Machine to Gift Digital Memories.

TrustScapes: A visualisation tool to capture stakeholders' concerns and recommendations about data protection, algorithmic bias, and online safety (2023)
Journal Article
Ito-Jaeger, S., Lane, G., Dowthwaite, L., Webb, H., Patel, M., Rawsthorne, M., Portillo, V., Jirotka, M., & Perez Vallejos, E. (2023). TrustScapes: A visualisation tool to capture stakeholders' concerns and recommendations about data protection, algorithmic bias, and online safety. International Journal of Qualitative Methods, 22, 1-10. https://doi.org/10.1177/1609406923118696

This paper presents a new methodological approach, TrustScapes, an open access tool designed to identify and visualise stakeholders’ concerns and policy recommendations on data protection, algorithmic bias, and online safety for a fairer and more tru... Read More about TrustScapes: A visualisation tool to capture stakeholders' concerns and recommendations about data protection, algorithmic bias, and online safety.

TrustScapes: A Visualisation Tool to Capture Stakeholders’ Concerns and Recommendations About Data Protection, Algorithmic Bias, and Online Safety (2023)
Journal Article
Ito-Jaeger, S., Lane, G., Dowthwaite, L., Webb, H., Patel, M., Rawsthorne, M., Portillo, V., Jirotka, M., & Perez Vallejos, E. (2023). TrustScapes: A Visualisation Tool to Capture Stakeholders’ Concerns and Recommendations About Data Protection, Algorithmic Bias, and Online Safety. International Journal of Qualitative Methods, 22, https://doi.org/10.1177/16094069231186965

This paper presents a new methodological approach, TrustScapes, an open access tool designed to identify and visualise stakeholders’ concerns and policy recommendations on data protection, algorithmic bias, and online safety for a fairer and more tru... Read More about TrustScapes: A Visualisation Tool to Capture Stakeholders’ Concerns and Recommendations About Data Protection, Algorithmic Bias, and Online Safety.

Assessing responsible innovation training (2023)
Journal Article
Stahl, B. C., Aicardi, C., Brooks, L., Craigon, P. J., Cunden, M., Burton, S. D., Heaver, M. D., Saille, S. D., Dolby, S., Dowthwaite, L., Eke, D., Hughes, S., Keene, P., Kuh, V., Portillo, V., Shanley, D., Smallman, M., Smith, M., Stilgoe, J., Ulnicane, I., …Webb, H. (2023). Assessing responsible innovation training. Journal of Responsible Technology, 16, Article 100063. https://doi.org/10.1016/j.jrt.2023.100063

There is broad agreement that one important aspect of responsible innovation (RI) is to provide training on its principles and practices to current and future researchers and innovators, notably including doctoral students. Much less agreement can be... Read More about Assessing responsible innovation training.

Responsible Research and Innovation (RRI) prompts and practice cards (version 2.1, August 2022) (2022)
Other
Portillo, V., Greenhalgh, C., Craigon, P., Dowthwaite, L., Stahl, B., Perez Vallejos, E., Webb, H., & Wagner, H. (2022). Responsible Research and Innovation (RRI) prompts and practice cards (version 2.1, August 2022). [https://www.horizon.ac.uk/rri-into-practice-launching-and-using-the-horizon-rri-prompts-and-practice-cards/]

These printable cards highlight 18 different aspects of Responsible Research and Innovation (RRI) that may be relevant to researchers and innovators. You can use the cards to reflect on a project and plan RRI activities. You can use the cards to faci... Read More about Responsible Research and Innovation (RRI) prompts and practice cards (version 2.1, August 2022).

Explanations in Autonomous Driving: A Survey (2021)
Journal Article
Omeiza, D., Webb, H., Jirotka, M., & Kunze, L. (2022). Explanations in Autonomous Driving: A Survey. IEEE Transactions on Intelligent Transportation Systems, 23(8), 10142-10162. https://doi.org/10.1109/TITS.2021.3122865

The automotive industry has witnessed an increasing level of development in the past decades; from manufacturing manually operated vehicles to manufacturing vehicles with a high level of automation. With the recent developments in Artificial Intellig... Read More about Explanations in Autonomous Driving: A Survey.

What happens when patients say “no” to offers of referral for weight loss? - Results and recommendations from a conversation analysis of primary care interactions (2021)
Journal Article
Albury, C., Webb, H., Ziebland, S., Aveyard, P., & Stokoe, E. (2022). What happens when patients say “no” to offers of referral for weight loss? - Results and recommendations from a conversation analysis of primary care interactions. Patient Education and Counseling, 105(3), 524-533. https://doi.org/10.1016/j.pec.2021.08.017

Objective: Guidelines recommend that clinicians should offer patients with obesity referrals to weight management services. However, clinicians and patients worry that such conversations will generate friction, and the risk of this is greatest when p... Read More about What happens when patients say “no” to offers of referral for weight loss? - Results and recommendations from a conversation analysis of primary care interactions.

“It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency (2019)
Journal Article
Webb, H., Patel, M., Rovatsos, M., Davoust, A., Ceppi, S., Koene, A., Dowthwaite, L., Portillo, V., Jirotka, M., & Cano, M. (2019). “It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency. Journal of Information, Communication and Ethics in Society, 17(2), 210-228. https://doi.org/10.1108/jices-11-2018-0092

Purpose
The purpose of this paper is to report on empirical work conducted to open up algorithmic interpretability and transparency. In recent years, significant concerns have arisen regarding the increasing pervasiveness of algorithms and the impac... Read More about “It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency.