Maaike Harbers
Biographic Data
| ID | 6703456 |
|---|---|
| NAME | Maaike Harbers |
| GIVEN NAMES | Maaike |
| FAMILY NAME | Harbers |
| SIGNATURE | HARBERS M |
| AFFILIATIONS | Rotterdam University of Applied Sciences |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Decoding AI ethics
This study performs a systematic content analysis to map out the landscape of eighty-seven ethical tools concerning the type of ethical principles addressed, the approach promoted (technological vs. socio-technical vs. societal), and the kind of assessment endorsed (self-assessment versus assessment by others). The findings reveal a skewed representation and emphasis of specific ethical principles across these tools. Furthermore, ethical tools pr…
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…
Explaining Simulations Through Self Explaining Agents
Several strategies are used to explain emergent interaction patterns in agent-based simulations. A distinction can be made between simulations in which the agents just behave in a reactive way, and simulations involving agents with also pro-active (goal-directed) behavior. Pro-active behavior is more variable and harder to predict than reactive behavior, and therefore it might be harder to explain. However, the approach presented in this paper tr…
No prominent works on this page.
Explaining Simulations Through Self Explaining Agents
Several strategies are used to explain emergent interaction patterns in agent-based simulations. A distinction can be made between simulations in which the agents just behave in a reactive way, and simulations involving agents with also pro-active (goal-directed) behavior. Pro-active behavior is more variable and harder to predict than reactive behavior, and therefore it might be harder to explain. However, the approach presented in this paper tr…
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…
Decoding AI ethics
This study performs a systematic content analysis to map out the landscape of eighty-seven ethical tools concerning the type of ethical principles addressed, the approach promoted (technological vs. socio-technical vs. societal), and the kind of assessment endorsed (self-assessment versus assessment by others). The findings reveal a skewed representation and emphasis of specific ethical principles across these tools. Furthermore, ethical tools pr…
Computer Science (3 works) · Engineering (2 works) · Innovative Human-Technology Interaction (2 works) · Sociology (2 works) · Agent-based model (1 work) · Appropriation (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Games (1 work) · Business Process Modeling and Analysis (1 work) · Design Education and Practice (1 work)