Virginia Dignum
Biographic Data
| ID | 304808 |
|---|---|
| NAME | Virginia Dignum |
| GIVEN NAMES | Virginia |
| FAMILY NAME | Dignum |
| SIGNATURE | DIGNUM V |
| AFFILIATIONS | Umeå University |
| ORCID | 0000-0001-7409-5813 |
| VERIFIED | Yes |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 18 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Entangled Futures
Evaluating Generative AI for Identifying Ethical, Legal, and Social Dimensions in Migration Narratives: A Case Study of Ukrainian Discourse
Collective endorsement of shared values across diverse social groups is essential for the development and sustainability of democratic societies, yet capturing the perspectives of marginalised populations remains a persistent challenge, particularly when examined through ethical, legal, and social (ELS) lenses. This study develops a structured Migration ELS taxonomy to guide a GenAI-assisted semantic classification model designed to identify ELS …
The Earth alignment principle for artificial intelligence
Trustworthiness of voting advice applications in Europe
Voting Advice Applications (VAAs) are interactive tools used to assist in one’s choice of a party or candidate to vote for in an upcoming election. They have the potential to increase citizens’ trust and participation in democratic structures. However, there is no established ground truth for one’s electoral choice, and VAA recommendations depend strongly on architectural and design choices. We assessed several representative European VAAs accord…
How Culture Influences the Management of a Pandemic: A Simulation of the Covid-19 Crisis
Since its first appearance in Wuhan (China), countries have been employing, to varying degrees of success, a series of non-pharmaceutical interventions aimed at limiting the spread of SARS-CoV-2 within their populations. In this article, we build on scientific work that demonstrates that culture is part of the explanation for the observed variability between countries in their ability to effectively control the transmission of SARS-CoV-2. We pres…
Give more data, awareness and control to individual citizens, and they will help Covid-19 containment
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by…
Group proximity and mutual understanding: Measuring onsite impact of a citizens’ summit
To better understand the impact of deliberations during participatory policymaking events, we introduce and explore the concept of group proximity . An example of such events is citizens’ summits, during which many parallel groups deliberate on solutions for a policy issue. At the summit that was studied, each group followed a value deliberation process with the aim to increase mutual understanding among participants. They were asked to rank the …
The role of artificial intelligence in achieving the Sustainable Development Goals
The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors requires an assessment of its effect on the achievement of the Sustainable Development Goals. Using a consensus-based expert elicitation process, we find that AI can enable the accomplishment of 134 targets across all the goals, but it may also inhibit 59 targets. However, current research foci overlook important aspects. The fast development of AI ne…
Integrating Social Practice Theory in Agent-Based Models: A Review of Theories and Agents
Evidence-driven agent-based modeling plays a useful part in understanding social phenomena. By integrating social-cognitive theories in our agent models, we bear evidence from social and psychological studies on our models for human decision-making. Social practice theory (SPT) provides a socio-cognitive theory that emphasizes three empirically and theoretically grounded aspects of behavior: habituality, sociality, and interconnectivity. Previous…
HCI sustaining the rule of law and democracy: A European perspective
Contains fulltext : 230510.pdf (Publisher’s version ) (Open Access)
Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way
Moral Values Related to Autonomous Weapon Systems: An Empirical Survey that Reveals Common Ground for the Ethical Debate
In the political debate on Autonomous Weapon Systems strong views and opinions are voiced, but empirical research to support these opinions is lacking. Insight into which moral values are related to the deployment of Autonomous Weapon Systems is missing. We describe the empirical results of two studies on moral values regarding Autonomous Weapon Systems that aim to understand the perception of people pertaining to the introduction of Autonomous W…
The Value of Values and Norms in Social Simulation
Social simulations gain strength when agent behaviour can ( ) represent human behaviour and ( ) be explained in understandable terms. Agents with values and norms lead to simulation results that meet human needs for explanations, but have not been tested on their ability to reproduce human behaviour. This paper compares empirical data on human behaviour to simulated data on agents with values and norms in a psychological experiment on dividing mo…
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
This article reports the findings of AI4People, an Atomium-EISMD initiative designed to lay the foundations for a "Good AI Society". We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations-to assess, to develop, to incentivise, and to support good AI-which in some cases may be undertaken directly by nat…
Regulatory compliance of business processes
Perspectives on Culture and Agent-based Simulations: Integrating Cultures
Responsible innovation as an endorsement of public values: The need for interdisciplinary research
This article has a theoretical and a practical objective. The theoretical objective is to conceptualize responsible innovation as the adequate and timely inclusion of public values relevant to technological development. Technological innovations always occur in a specific institutional context, closely connected to stakeholder dynamics. Hence, an ideal approach to responsible innovation requires interdisciplinary research that incorporates: (i) t…
Increasing self-efficacy in learning to program: Exploring the Benefits of Explicit Instruction for Problem Solving
The difficulty of learning to program has long been identified amongst novices. This study explored the benefits of teaching a problem solving strategy by comparing students' perceptions and attitudes towards problem solving before and after the strategy was implemented in secondary schools. Based on self-efficacy theory, students' problem solving self-efficacy as well as teachers' self-efficacy were investigated, showing that both students' and …
Maia: A Framework for Developing Agent-Based Social Simulations
In this paper we introduce and motivate a conceptualization framework for agent-based social simulation, MAIA: Modelling Agent systems based on Institutional Analysis. The MAIA framework is based on Ostrom's Institutional Analysis and Development framework, and provides an extensive set of modelling concepts that is rich enough to capture a large range of complex social phenomena. Developing advanced agent-based models requires substantial experi…
No prominent works on this page.
Maia: A Framework for Developing Agent-Based Social Simulations
In this paper we introduce and motivate a conceptualization framework for agent-based social simulation, MAIA: Modelling Agent systems based on Institutional Analysis. The MAIA framework is based on Ostrom's Institutional Analysis and Development framework, and provides an extensive set of modelling concepts that is rich enough to capture a large range of complex social phenomena. Developing advanced agent-based models requires substantial experi…
Perspectives on Culture and Agent-based Simulations: Integrating Cultures
Responsible innovation as an endorsement of public values: The need for interdisciplinary research
This article has a theoretical and a practical objective. The theoretical objective is to conceptualize responsible innovation as the adequate and timely inclusion of public values relevant to technological development. Technological innovations always occur in a specific institutional context, closely connected to stakeholder dynamics. Hence, an ideal approach to responsible innovation requires interdisciplinary research that incorporates: (i) t…
Increasing self-efficacy in learning to program: Exploring the Benefits of Explicit Instruction for Problem Solving
The difficulty of learning to program has long been identified amongst novices. This study explored the benefits of teaching a problem solving strategy by comparing students' perceptions and attitudes towards problem solving before and after the strategy was implemented in secondary schools. Based on self-efficacy theory, students' problem solving self-efficacy as well as teachers' self-efficacy were investigated, showing that both students' and …
Regulatory compliance of business processes
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
This article reports the findings of AI4People, an Atomium-EISMD initiative designed to lay the foundations for a "Good AI Society". We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations-to assess, to develop, to incentivise, and to support good AI-which in some cases may be undertaken directly by nat…
Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way
Moral Values Related to Autonomous Weapon Systems: An Empirical Survey that Reveals Common Ground for the Ethical Debate
In the political debate on Autonomous Weapon Systems strong views and opinions are voiced, but empirical research to support these opinions is lacking. Insight into which moral values are related to the deployment of Autonomous Weapon Systems is missing. We describe the empirical results of two studies on moral values regarding Autonomous Weapon Systems that aim to understand the perception of people pertaining to the introduction of Autonomous W…
The Value of Values and Norms in Social Simulation
Social simulations gain strength when agent behaviour can ( ) represent human behaviour and ( ) be explained in understandable terms. Agents with values and norms lead to simulation results that meet human needs for explanations, but have not been tested on their ability to reproduce human behaviour. This paper compares empirical data on human behaviour to simulated data on agents with values and norms in a psychological experiment on dividing mo…
The role of artificial intelligence in achieving the Sustainable Development Goals
The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors requires an assessment of its effect on the achievement of the Sustainable Development Goals. Using a consensus-based expert elicitation process, we find that AI can enable the accomplishment of 134 targets across all the goals, but it may also inhibit 59 targets. However, current research foci overlook important aspects. The fast development of AI ne…
Integrating Social Practice Theory in Agent-Based Models: A Review of Theories and Agents
Evidence-driven agent-based modeling plays a useful part in understanding social phenomena. By integrating social-cognitive theories in our agent models, we bear evidence from social and psychological studies on our models for human decision-making. Social practice theory (SPT) provides a socio-cognitive theory that emphasizes three empirically and theoretically grounded aspects of behavior: habituality, sociality, and interconnectivity. Previous…
HCI sustaining the rule of law and democracy: A European perspective
Contains fulltext : 230510.pdf (Publisher’s version ) (Open Access)
Give more data, awareness and control to individual citizens, and they will help Covid-19 containment
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by…
Group proximity and mutual understanding: Measuring onsite impact of a citizens’ summit
To better understand the impact of deliberations during participatory policymaking events, we introduce and explore the concept of group proximity . An example of such events is citizens’ summits, during which many parallel groups deliberate on solutions for a policy issue. At the summit that was studied, each group followed a value deliberation process with the aim to increase mutual understanding among participants. They were asked to rank the …
How Culture Influences the Management of a Pandemic: A Simulation of the Covid-19 Crisis
Since its first appearance in Wuhan (China), countries have been employing, to varying degrees of success, a series of non-pharmaceutical interventions aimed at limiting the spread of SARS-CoV-2 within their populations. In this article, we build on scientific work that demonstrates that culture is part of the explanation for the observed variability between countries in their ability to effectively control the transmission of SARS-CoV-2. We pres…
Trustworthiness of voting advice applications in Europe
Voting Advice Applications (VAAs) are interactive tools used to assist in one’s choice of a party or candidate to vote for in an upcoming election. They have the potential to increase citizens’ trust and participation in democratic structures. However, there is no established ground truth for one’s electoral choice, and VAA recommendations depend strongly on architectural and design choices. We assessed several representative European VAAs accord…
The Earth alignment principle for artificial intelligence
Entangled Futures
Evaluating Generative AI for Identifying Ethical, Legal, and Social Dimensions in Migration Narratives: A Case Study of Ukrainian Discourse
Collective endorsement of shared values across diverse social groups is essential for the development and sustainability of democratic societies, yet capturing the perspectives of marginalised populations remains a persistent challenge, particularly when examined through ethical, legal, and social (ELS) lenses. This study develops a structured Migration ELS taxonomy to guide a GenAI-assisted semantic classification model designed to identify ELS …
Computer Science (12 works) · Political science (7 works) · Ethics and Social Impacts of AI (5 works) · Psychology (5 works) · Artificial Intelligence (4 works) · Engineering (4 works) · Law (4 works) · Mathematics (4 works) · Business (3 works) · Engineering ethics (3 works)