Tag: data-ethics

7 links

link.springer.com > Aline Shakti Franzke, Iris Muis and Mirko Tobias Schäfer
Data Ethics Decision Aid (DEDA): a dialogical framework for ethical inquiry of AI and data projects in the Netherlands
27 jan. 2021 - This contribution discusses the development of the Data Ethics Decision Aid (DEDA), a framework for reviewing government data projects that considers their social impact, the embedded values and the government’s responsibilities in times of data-driven public management. Drawing from distinct qualitative research approaches, the DEDA framework was developed in an iterative process (2016–2018) and has since then been applied by various Dutch municipalities, the Association of Dutch Municipalities, and the Ministry of General Affairs (NL). We present the DEDA framework as an effective process to moderate case-deliberation and advance the development of responsible data practices. In addition, by thoroughly documenting the deliberation process, the DEDA framework establishes accountability. First, this paper sheds light on the necessity for data ethical case deliberation. Second, it describes the prototypes, the final design of the framework, and its evaluation. After a comparison with other frameworks, and a discussion of the findings, the paper concludes by arguing that the DEDA framework is a useful process for ethical evaluation of data projects for public management and an effective tool for creating awareness of ethical issues in data practices.
 · data-ethics · project-nhl

www.dukeupress.edu > Louise Amoore
Cloud Ethics
1 may. 2020 - In Cloud Ethics Louise Amoore examines how machine learning algorithms are transforming the ethics and politics of contemporary society. Conceptualizing algorithms as ethicopolitical entities that are entangled with the data attributes of people, Amoore outlines how algorithms give incomplete accounts of themselves, learn through relationships with human practices, and exist in the world in ways that exceed their source code. In these ways, algorithms and their relations to people cannot be understood by simply examining their code, nor can ethics be encoded into algorithms. Instead, Amoore locates the ethical responsibility of algorithms in the conditions of partiality and opacity that haunt both human and algorithmic decisions. To this end, she proposes what she calls cloud ethics—an approach to holding algorithms accountable by engaging with the social and technical conditions under which they emerge and operate.
 · algorithmic-bias · data-ethics · not-read · project-hva · racist-technology

medium.com > Jacob Metcalf
“The study has been approved by the IRB”: Gayface AI, research hype and the pervasive data ethics gap
30 nov. 2017 - Just as it has changed the methods of science and engineering, the tools of large scale data analytics have caused major shifts in how we judge the ethical consequences of scientific research. And our current methods are not keeping up. Historically, research ethics has been animated by a core set of questions, such as how do you decide if a scientific experiment is justified given the potential risks and benefits to the people being studied, or to society at large? How do you track who has to bear those risks and who gets the benefits?
 · data-ethics · data-science · gay-rights · machine-learning · project-hva · research-ethics