Zoekresultaten

Persona Development in the Public Domain?

How to create personas to improve designs for behaviour change strategies in the public domain? Three recent cases illustrate lessons learnt and challenges encountered during persona development in the public domain. Personas were helpful to gain insight into diversity within a target group, to create empathy for its members, and to have a shared understanding when communicating about them. The main challenges encountered were 1) capturing complex behaviour with personas, as the behaviours involved were variable over time, the (legislative) environment in motion, and the target groups diverse; 2) finding the right balance between intuitive vs. evidence-based decision-making, a process we coined “taking a responsible leap of faith”; and 3) transferring personas to third parties, as free sharing of insights and tools is common in the public domain. Validation plays an important role in personas’ transferability. We call for all involved researchers to share experiences with using the persona methodology in the public domain, in order to tackle the challenges, and to create a more standardised way of developing personas.

Introduction - public accountability in the Global South:

The vast literature on accountability in the public sector (usually called ‘public accountability’originating from political science and public administration tends to emphasize the positive dimension of holding authorities to account. As formulated by one prominent scholar in the field, ‘[a]ccountability has become an icon for good governance’: it is perceived as ‘a Good Thing, and, so it seems, we can’t have enough of it’ (Bovens, 2005: 182, 183). Accountability has, thus, become one of the central values of democratic rule – varying on a well-known American slogan one could phrase this as ‘no public responsi bility without accountability’.

The Value of Privacy and Surveillance Drones in the Public Domain

The flexible deployment of drones in the public domain, is in this article assessed from a legal philosophical perspective. On the basis of theories of Dworkin and Moore the distinction between individual rights and collective security policy goals is discussed. Mobile cameras in the public domain reflect how innovative technological tools challenge public authorities in new ways to balance between privacy and security. Furthermore, the different dimensions of privacy and the distinction between the three types of the value of privacy are reviewed. On the basis of the case study of the Dutch Drones Act, the article concludes that the flexible deployment of mobile cameras in the public domain is not legitimate from a normative perspective. The legal safeguards in the Netherlands are insufficient to protect the value of privacy. Therefore, further restrictions such as prior judicial review should be considered.

The production of public values through digital platforms

From a sharing economy to a platform economy

This chapter discusses the sharing economy in the Netherlands, focussing on shared mobility and gig work platforms. The Netherlands has been known as one of the pioneers in the sharing economy. Local initiatives emerged at the beginning of the 2010s. International players such as Uber, UberPop, and Airbnb followed soon after. Initially, the sharing economy was greeted with a sense of optimism, as it was thought to contribute to social cohesion and sustainability. Over the last few years, the debate has shifted to the question of how public values can be safeguarded or stimulated. In this regard, shared mobility is hoped to contribute to more sustainable transport. In the gig economy, scholars and labour representatives fear a further flexibilisation of labour; others see opportunities for economic growth.

Developing public values based AI systems using value sensitive design

The growing prevalence of AI systems in society, has also prompted a growth of AI systems in the public sector. There are however ethical concerns over the impact of AI on society and how this technology can impact public values. Previous works do not connect public values and the development of AI. To address this, a method is required to ensure that developers and public servants can signal possible ethical implications of an AI system and are assisted in creating systems that adhere to public values. Using the Research pathway model and Value Sensitive Design, we will develop a toolbox to assist in these challenges and gain insight into how public values can be embedded throughout the development of AI systems.