“It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency

Webb, Helena; Patel, Menisha; Rovatsos, Michael; Davoust, Alan; Ceppi, Sofia; Koene, Ansgar; Dowthwaite, Liz; Portillo, Virginia; Jirotka, Marina; Cano, Monica

doi:10.1108/jices-11-2018-0092

All Outputs (9)

“It becomes more of an abstract idea, this privacy” – Informing the design for communal privacy experiences in smart homes (2023)
Journal Article

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

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

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.

TrustScapes: A visualisation tool to capture stakeholders' concerns and recommendations about data protection, algorithmic bias, and online safety (2023)
Journal Article

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

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

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.

Explanations in Autonomous Driving: A Survey (2021)
Journal Article

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

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

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.