Jeroen Van Den Hoven
Dados Biográficos
| ID | 2744355 |
|---|---|
| NOME | Jeroen Van Den Hoven |
| PRENOMES | Jeroen Van Den |
| SOBRENOME | Hoven |
| ASSINATURA | VAN DEN HOVEN J |
| AFILIAÇÕES | Delft University of Technology |
| ORCID | 0000-0003-2376-3185 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 25 |
| TOTAL DE CITAÇÕES | 44 |
| TOTAL COMO AUTOR | 20 |
| TOTAL COMO EDITOR | 5 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1997 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 3 |
Harmful epistemic dependence on medical machine learning and its moral implications
The advances in machine learning (ML)-based systems in medicine give rise to pressing epistemological and ethical questions. Clinical decisions are increasingly taken in highly digitised work environments, which we call artificial epistemic niches. By considering the case of ML systems in life-critical healthcare settings, we investigate (1) when users’ reliance on these systems can be characterised as epistemic dependence and (2) how this depend…
The Green Transition will be just – Or it won't succeed
The European Commission defines the Green Transition as the transformation set out in the European Green Deal. Ensuring that this transition is just is both an ethical requirement and a practical condition for maintaining public support and policy effectiveness. This Perspective proposes a multidimensional framework for assessing justice in Green Transition policies, encompassing distributional, procedural, recognitional, corrective, and transiti…
Examining the assumptions of AI hiring assessments and their impact on job seekers’ autonomy over self-representation
In this paper, we examine the epistemological and ontological assumptions algorithmic hiring assessments make about job seekers’ attributes (e.g., competencies, skills, abilities) and the ethical implications of these assumptions. Given that both traditional psychometric hiring assessments and algorithmic assessments share a common set of underlying assumptions from the psychometric paradigm, we turn to literature that has examined the merits and…
Design for values and conceptual engineering
Values for a Post-Pandemic Future
This open access book explores how ethically designed technologies have a unique role to play in the aftermath of the COVID-19 crisis.
Responsibility and innovation
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…
Introduction to the special issue
In this article, we introduce the Special Issue, Value Sensitive Design: Charting the Next Decade , which arose from a week-long workshop hosted by Lorentz Center, Leiden, The Netherlands, November 14–18, 2016. Forty-one researchers and designers, ranging in seniority from doctoral students to full professors, from Australia, Europe, and North America, and representing a wide range of academic fields participated in the workshop . The first artic…
Eight grand challenges for value sensitive design from the 2016 Lorentz workshop
In this article, we report on eight grand challenges for value sensitive design, which were developed at a one-week workshop, Value Sensitive Design: Charting the Next Decade , Lorentz Center, Leiden, The Netherlands, November 14–18, 2016. A grand challenge is a substantial problem, opportunity, or question that motives sustained research and design activity. The eight grand challenges are: (1) Accounting for Power, (2) Evaluating Value Sensitive…
The future of work
Artificial Intelligence (AI) is predicted to have a deep impact on the future of work and employment. The paper outlines a normative framework to understand and protect human freedom and justice in this transition. The proposed framework is based on four main ideas: going beyond the idea of a Basic Income to compensate the losers in the transition towards AI-driven work, towards a Responsible Innovation approach, in which the development of AI te…
Legibility as a Design Principle
This paper introduces the design principle of legibility as means to examine the epistemic and ethical conditions of sensing technologies. Emerging sensing technologies create new possibilities regarding what to measure, as well as how to analyze, interpret, and communicate said measurements. In doing so, they create ethical challenges for designers to navigate, specifically how the interpretation and communication of complex data affect moral va…
Designing for human rights in AI
In the age of Big Data, companies and governments are increasingly using algorithms to inform hiring decisions, employee management, policing, credit scoring, insurance pricing, and many more aspects of our lives. Artificial intelligence (AI) systems can help us make evidence-driven, efficient decisions, but can also confront us with unjustified, discriminatory decisions wrongly assumed to be accurate because they are made automatically and quant…
Will Democracy Survive Big Data and Artificial Intelligence
Meaningful Human Control over Autonomous Systems
Debates on lethal autonomous weapon systems have proliferated in the past 5 years. Ethical concerns have been voiced about a possible raise in the number of wrongs and crimes in military operations and about the creation of a "responsibility gap" for harms caused by these systems. To address these concerns, the principle of "meaningful human control" has been introduced in the legal-political debate; according to this principle, humans not comput…
Evil Online
Responsible Innovation 2
Breaking the filter bubble
It has been argued that the Internet and social media increase the number of available viewpoints, perspectives, ideas and opinions available, leading to a very diverse pool of information. However, critics have argued that algorithms used by search engines, social networking platforms and other large online intermediaries actually decrease information diversity by forming so-called “filter bubbles”. This may form a serious threat to our democrac…
Big and Open Linked Data (Bold) in government
Value Sensitive Design and Responsible Innovation
The Netherlands has learned interesting lessons about ethics and innovation in the first decade of the twenty-first century. A real innovative design for an electronic patient record system or a truly smart electricity meter, would have anticipated or pre-empted moral concerns and accommodated them into its design, reconciling efficiency, privacy, sustainability, and safety. Innovation can take the shape of design solutions to situations of moral…
Engineering and the Problem of Moral Overload
When thinking about ethics, technology is often only mentioned as the source of our problems, not as a potential solution to our moral dilemmas. When thinking about technology, ethics is often only mentioned as a constraint on developments, not as a source and spring of innovation. In this paper, we argue that ethics can be the source of technological development rather than just a constraint and technological progress can create moral progress r…
The Capability Approach, Technology and Design
Moral Responsibility
Ethics and Nanopharmacy
Although applications are being developed and have reached the market, nanopharmacy to date is generally still conceived as an emerging technology. Its concept is ill-defined. Nanopharmacy can also be construed as a converging technology, which combines features of multiple technologies, ranging from nanotechnology to medicine and ICT. It is still debated whether its features give rise to new ethical issues or that issues associated with nanophar…
Information Technology and Moral Philosophy
Cepe '97
No abstract available
Big and Open Linked Data (Bold) in government
Designing for human rights in AI
In the age of Big Data, companies and governments are increasingly using algorithms to inform hiring decisions, employee management, policing, credit scoring, insurance pricing, and many more aspects of our lives. Artificial intelligence (AI) systems can help us make evidence-driven, efficient decisions, but can also confront us with unjustified, discriminatory decisions wrongly assumed to be accurate because they are made automatically and quant…
The future of work
Artificial Intelligence (AI) is predicted to have a deep impact on the future of work and employment. The paper outlines a normative framework to understand and protect human freedom and justice in this transition. The proposed framework is based on four main ideas: going beyond the idea of a Basic Income to compensate the losers in the transition towards AI-driven work, towards a Responsible Innovation approach, in which the development of AI te…
Ethics and Nanopharmacy
Although applications are being developed and have reached the market, nanopharmacy to date is generally still conceived as an emerging technology. Its concept is ill-defined. Nanopharmacy can also be construed as a converging technology, which combines features of multiple technologies, ranging from nanotechnology to medicine and ICT. It is still debated whether its features give rise to new ethical issues or that issues associated with nanophar…
Cepe '97
No abstract available
Information Technology and Moral Philosophy
Moral Responsibility
Ethics and Nanopharmacy
Although applications are being developed and have reached the market, nanopharmacy to date is generally still conceived as an emerging technology. Its concept is ill-defined. Nanopharmacy can also be construed as a converging technology, which combines features of multiple technologies, ranging from nanotechnology to medicine and ICT. It is still debated whether its features give rise to new ethical issues or that issues associated with nanophar…
Engineering and the Problem of Moral Overload
When thinking about ethics, technology is often only mentioned as the source of our problems, not as a potential solution to our moral dilemmas. When thinking about technology, ethics is often only mentioned as a constraint on developments, not as a source and spring of innovation. In this paper, we argue that ethics can be the source of technological development rather than just a constraint and technological progress can create moral progress r…
The Capability Approach, Technology and Design
Value Sensitive Design and Responsible Innovation
The Netherlands has learned interesting lessons about ethics and innovation in the first decade of the twenty-first century. A real innovative design for an electronic patient record system or a truly smart electricity meter, would have anticipated or pre-empted moral concerns and accommodated them into its design, reconciling efficiency, privacy, sustainability, and safety. Innovation can take the shape of design solutions to situations of moral…
Responsible Innovation 2
Breaking the filter bubble
It has been argued that the Internet and social media increase the number of available viewpoints, perspectives, ideas and opinions available, leading to a very diverse pool of information. However, critics have argued that algorithms used by search engines, social networking platforms and other large online intermediaries actually decrease information diversity by forming so-called “filter bubbles”. This may form a serious threat to our democrac…
Big and Open Linked Data (Bold) in government
Meaningful Human Control over Autonomous Systems
Debates on lethal autonomous weapon systems have proliferated in the past 5 years. Ethical concerns have been voiced about a possible raise in the number of wrongs and crimes in military operations and about the creation of a "responsibility gap" for harms caused by these systems. To address these concerns, the principle of "meaningful human control" has been introduced in the legal-political debate; according to this principle, humans not comput…
Evil Online
Will Democracy Survive Big Data and Artificial Intelligence
Designing for human rights in AI
In the age of Big Data, companies and governments are increasingly using algorithms to inform hiring decisions, employee management, policing, credit scoring, insurance pricing, and many more aspects of our lives. Artificial intelligence (AI) systems can help us make evidence-driven, efficient decisions, but can also confront us with unjustified, discriminatory decisions wrongly assumed to be accurate because they are made automatically and quant…
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…
Introduction to the special issue
In this article, we introduce the Special Issue, Value Sensitive Design: Charting the Next Decade , which arose from a week-long workshop hosted by Lorentz Center, Leiden, The Netherlands, November 14–18, 2016. Forty-one researchers and designers, ranging in seniority from doctoral students to full professors, from Australia, Europe, and North America, and representing a wide range of academic fields participated in the workshop . The first artic…
Eight grand challenges for value sensitive design from the 2016 Lorentz workshop
In this article, we report on eight grand challenges for value sensitive design, which were developed at a one-week workshop, Value Sensitive Design: Charting the Next Decade , Lorentz Center, Leiden, The Netherlands, November 14–18, 2016. A grand challenge is a substantial problem, opportunity, or question that motives sustained research and design activity. The eight grand challenges are: (1) Accounting for Power, (2) Evaluating Value Sensitive…
The future of work
Artificial Intelligence (AI) is predicted to have a deep impact on the future of work and employment. The paper outlines a normative framework to understand and protect human freedom and justice in this transition. The proposed framework is based on four main ideas: going beyond the idea of a Basic Income to compensate the losers in the transition towards AI-driven work, towards a Responsible Innovation approach, in which the development of AI te…
Legibility as a Design Principle
This paper introduces the design principle of legibility as means to examine the epistemic and ethical conditions of sensing technologies. Emerging sensing technologies create new possibilities regarding what to measure, as well as how to analyze, interpret, and communicate said measurements. In doing so, they create ethical challenges for designers to navigate, specifically how the interpretation and communication of complex data affect moral va…
Values for a Post-Pandemic Future
This open access book explores how ethically designed technologies have a unique role to play in the aftermath of the COVID-19 crisis.
Responsibility and innovation
Design for values and conceptual engineering
Examining the assumptions of AI hiring assessments and their impact on job seekers’ autonomy over self-representation
In this paper, we examine the epistemological and ontological assumptions algorithmic hiring assessments make about job seekers’ attributes (e.g., competencies, skills, abilities) and the ethical implications of these assumptions. Given that both traditional psychometric hiring assessments and algorithmic assessments share a common set of underlying assumptions from the psychometric paradigm, we turn to literature that has examined the merits and…
Harmful epistemic dependence on medical machine learning and its moral implications
The advances in machine learning (ML)-based systems in medicine give rise to pressing epistemological and ethical questions. Clinical decisions are increasingly taken in highly digitised work environments, which we call artificial epistemic niches. By considering the case of ML systems in life-critical healthcare settings, we investigate (1) when users’ reliance on these systems can be characterised as epistemic dependence and (2) how this depend…
The Green Transition will be just – Or it won't succeed
The European Commission defines the Green Transition as the transformation set out in the European Green Deal. Ensuring that this transition is just is both an ethical requirement and a practical condition for maintaining public support and policy effectiveness. This Perspective proposes a multidimensional framework for assessing justice in Green Transition policies, encompassing distributional, procedural, recognitional, corrective, and transiti…
Computer Science (17 obras) · Sociology (16 obras) · Engineering (14 obras) · Political science (14 obras) · Engineering ethics (12 obras) · Epistemology (11 obras) · Law (11 obras) · Ethics and Social Impacts of AI (10 obras) · Psychology (8 obras) · Business (7 obras)