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Zoekresultaten (65)

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HBO/WO

MBO

26 juni 2018

Sensitive information

It’s important to be aware of privacy sensitive information while writing a thesis or report. How does a student know what information could be included? This is what the video is about. The video is part of the online course Searchlight Advanced of the HvA library.

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Bibliotheek HvA

13 juni 2022

Anti-Value Sensitive Design - Educational format

This exercise is for students who are already familiar with the methodology of Value Sensitive Design by having had multiple lessons on the theory. The format offered here is a fun and practical application to help students see the real consequences of the ideas they have been learning about, by intentionally reversing the goals to see how outcomes are affected. It is a pedagogical approach to provide students a humorous and inventive way of seeing the importance of Value-Sensitive Design, by instead implementing its opposite. Anti-Value Sensitive Design (AVSD) is identical to VSD except that the values chosen will be negative: replacing fairness with unfairness, and so on. In VSD methodology, the key is understanding that values must be part of technological design and must be consciously distinguished early in the design process. In this exercise, students will make a pitch to an “Evil Boss” highlighting “anti-values” and see how designs are impacted.

Document

Michael Nagenborg, Miranda Nell

27 januari 2025

A value sensitive analysis of 13 cases in ICT ethics

The exercise proposes a step-by-step activity in which students will perform a value sensitive design analysis of 13 cases related to computer sciences/ ICT technologies. Students are asked to analyse a technology case in small groups. They are asked to identify the underlying value conflict that pertains to contrasting stakeholders’ views. Students do so through group work by selecting and working on one morally salient case study with an identifiable ethical problem (the exercise offers 13 such cases to pick from, but instructors are encouraged to add their own cases to this list). The students are encouraged to solve the value conflict by searching for already existing solutions proposed by different stakeholders (for example, designers, journalists, scholars, engineers, policy makers, etc.), and then analysing how a particular solution prioritizes certain values over others.

Document

Lavinia Marin, Samuela Marchiori, Joseph Emmanuel Sta. Maria, Dmitry Muravyov

23 augustus 2023

Interactive session: Value-sensitive Design

Learner can apply VSD in designing and developing data-based services. Learner can apply the three perspectives of VSD. Learner can use the Ethical Matrix to weigh stakeholders, values and impact and can make ethical choices.

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HCAIM Consortium

1 januari 2018

Searchlight Advanced Module 6: Process your information

Part of the online course Searchlight Advanced that is about privacy-sensitive information, creative commons and the use of Refworks.

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Bibliotheek HvA

23 augustus 2023

Lecture: Value-Sensitive Design

Learner understands the added value of VSD. Learner can apply VSD in designing and developing data-based services. Learner can apply the three perspectives of VSD. Learner understands the difference between direct and indirect stakeholders. Learner understands comparison between VSD and other design approaches for data-based services. Learner understands Ethical Matrix. Learner can use the Ethical Matrix to weigh stakeholders, values and impact and can make ethical choices.

Website

HCAIM Consortium

7 oktober 2019

Responsible Innovation: Ethics, Safety and Technology - 2nd edition

This textbook is based on the MOOC Responsible Innovation offered by the TU Delft. It provides a framework to reflect on the ethics and risks of new technologies. How can we make sure that innovations do justice to social and ethical values? How can we minimize (unknown)risks? The book explains: •The concept and importance of responsible innovation for society •Key ethical concepts and considerations to analyse the risks of new technologies •Different types of innovation (e.g. radical, niche, incremental, frugal) •Roadmap for Responsible Innovation by Industry •The concept of Value Sensitive Design (VSD) It includes a link to all the web lectures as well as case studies ranging from care robots and nuclear energy to Artificial Intelligence and self-driving vehicles.

Open (Access) Tekst Boek

Joost Groot Kormelink

2017

Responsible innovation: From MOOC to book

This textbook is based on the MOOC Responsible Innovation offered by the TU Delft. It provides a framework to reflect on the ethics and risks of new technologies. How can we make sure that innovations do justice to social and ethical values? How can we minimize (unknown)risks? The book explains: • The concept and importance of responsible innovation for society • Key ethical concepts and considerations to analyse the risks of new technologies • Different types of innovation (e.g. radical, niche, incremental, frugal) • Roadmap for Responsible Innovation by Industry • The concept of Value Sensitive Design (VSD) It includes a link to all the web lectures as well as case studies ranging from care robots and nuclear energy to Artificial Intelligence and self-driving vehicles.

Document

Joost Groot Kormelink

10 augustus 2023

Research Data Management: Data classification

Data classification While writing your dissertation you may (re)use existing data or create new data. These data sets may contain sensitive data. Sensitive data is frequently classified as: public, internal, confidential or secret. The data classification is important as it determines how you store, share and publish your data. Example of classification of sensitive data. Sharing data Sensitive data identifies individuals, species, objects or locations, and carries a risk of causing discrimination, harm or unwanted attention. Related.

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Erasmus University Library

29 april 2020

Moral Imagination and the Future of Cities at Night (Teacher version)

Nighttime lighting is foundational to the design and use of cities at night, and new innovations to how we light cities can have far-reaching effects on social and environmental values. Given the confluence of rising concerns about the negative effects of artificial light at night (known as light pollution), combined with the introduction of new lighting technologies (e.g., smart systems, LEDs) as well as the development of other disruptive technologies (e.g., autonomous vehicles), we have a rare opportunity to envision and enact new lighting strategies. But how can these new technologies be adopted and utilized in a creative and responsible way? What values (environmental, social, aesthetic) should inform and drive technological innovation, design and policy choices, and use patterns? In this exercise, students are asked to confront complex and open-ended moral questions related to a critical (if often taken-for-granted) urban infrastructure, exploring how normative theories and value-sensitive design can – and should – inform the future of nighttime lighting.

Document

Taylor W. Stone