Zoekresultaten

Governing roles and responsibilities in a human-machine decision-making context

Proper decision-making is one of the most important capabilities of an organization. Therefore, it is important to have a clear understanding and overview of the decisions an organization makes. A means to understanding and modeling decisions is the Decision Model and Notation (DMN) standard published by the Object Management Group in 2015. In this standard, it is possible to design and specify how a decision should be taken. However, DMN lacks elements to specify the actors that fulfil different roles in the decision-making process as well as not taking into account the autonomy of machines. In this paper, we re-address and-present our earlier work [1] that focuses on the construction of a framework that takes into account different roles in the decision-making process, and also includes the extent of the autonomy when machines are involved in the decision-making processes. Yet, we extended our previous research with more detailed discussion of the related literature, running cases, and results, which provides a grounded basis from which further research on the governance of (semi) automated decision-making can be conducted. The contributions of this paper are twofold; 1) a framework that combines both autonomy and separation of concerns aspects for decision-making in practice while 2) the proposed theory forms a grounded argument to enrich the current DMN standard.

Integrating emergence and progression

This paper investigates how structures of emergence and progression in games might be integrated. By leveraging the formalism of Machination diagrams the shape of the mechanics and a game’s internal economy that typically control progression in games are exposed. Two strategies to create mechanics that control progression but exhibit more emergent behavior by including feedback loops are presented.

The theoretical framework of the ‘archive-as-Is’

The Circular Wood KPI-framework

Wood is an increasingly demanded renewable resource and an important raw material for construction and materials. Demands are rising, with a growing attention for re-use and upcycling. This opens opportunities for new business models, empowered by the use of digital design and technologies. A KPI-framework has thus been developed to assess the impact of waste wood upcycling, to provide new business perspectives. It is conceived as a tool to enable circular businesses to select the most appropriate circular wood applications for their portfolio. The framework currently consists of eight indicators addressing circularity, environment, society and economics. This paper presents these indicators and shares insights for further development and enhancement of the framework.

On the validation of an Evaluation Framework: Assessment by Experts

This report describes "a framework that delivers insight into the tangible and intangible effects of a mobile (IT) system, before it is being implemented".

An Agile Framework for Trustworthy AI

From the article: The ethics guidelines put forward by the AI High Level Expert Group (AI-HLEG) present a list of seven key requirements that Human-centered, trustworthy AI systems should meet. These guidelines are useful for the evaluation of AI systems, but can be complemented by applied methods and tools for the development of trustworthy AI systems in practice. In this position paper we propose a framework for translating the AI-HLEG ethics guidelines into the specific context within which an AI system operates. This approach aligns well with a set of Agile principles commonly employed in software engineering. http://ceur-ws.org/Vol-2659/