Search results for "järjestelmäsuunnittelu"
showing 10 items of 24 documents
Implementing Ethics in AI: Initial Results of an Industrial Multiple Case Study
2019
Artificial intelligence (AI) is becoming increasingly widespread in system development endeavors. As AI systems affect various stakeholders due to their unique nature, the growing influence of these systems calls for ethical considerations. Academic discussion and practical examples of autonomous system failures have highlighted the need for implementing ethics in software development. However, research on methods and tools for implementing ethics into AI system design and development in practice is still lacking. This paper begins to address this focal problem by providing elements needed for producing a baseline for ethics in AI based software development. We do so by means of an industri…
Time for AI (Ethics) maturity model is now
2021
Publisher Copyright: Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). There appears to be a common agreement that ethical concerns are of high importance when it comes to systems equipped with some sort of Artificial Intelligence (AI). Demands for ethical AI are declared from all directions. As a response, in recent years, public bodies, governments, and universities have rushed in to provide a set of principles to be considered when AI based systems are designed and used. We have learned, however, that high-level principles do not turn easily into actionable advice for practitioners. Hence, also companie…
Governance of Ethical and Trustworthy Al Systems: Research Gaps in the ECCOLA Method
2021
Advances in machine learning (ML) technologies have greatly improved Artificial Intelligence (AI) systems. As a result, AI systems have become ubiquitous, with their application prevalent in virtually all sectors. However, AI systems have prompted ethical concerns, especially as their usage crosses boundaries in sensitive areas such as healthcare, transportation, and security. As a result, users are calling for better AI governance practices in ethical AI systems. Therefore, AI development methods are encouraged to foster these practices. This research analyzes the ECCOLA method for developing ethical and trustworthy AI systems to determine if it enables AI governance in development process…
Implementing AI Ethics in Practice: An Empirical Evaluation of the RESOLVEDD Strategy
2020
As Artificial Intelligence (AI) systems exert a growing influence on society, real-life incidents begin to underline the importance of AI Ethics. Though calls for more ethical AI systems have been voiced by scholars and the general public alike, few empirical studies on the topic exist. Similarly, few tools and methods designed for implementing AI ethics into practice currently exist. To provide empirical data into this on-going discussion, we empirically evaluate an existing method from the field of business ethics, the RESOLVEDD strategy, in the context of ethical system development. We evaluated RESOLVEDD by means of a multiple case study of five student projects where its use was given …
ECCOLA : a Method for Implementing Ethically Aligned AI Systems
2020
Various recent Artificial Intelligence (AI) system failures, some of which have made the global headlines, have highlighted issues in these systems. These failures have resulted in calls for more ethical AI systems that better take into account their effects on various stakeholders. However, implementing AI ethics into practice is still an on-going challenge. High-level guidelines for doing so exist, devised by governments and private organizations alike, but lack practicality for developers. To address this issue, in this paper, we present a method for implementing AI ethics. The method, ECCOLA, has been iteratively developed using a cyclical action design research approach. The method aim…
ECCOLA : a method for implementing ethically aligned AI systems
2021
Artificial Intelligence (AI) systems are becoming increasingly widespread and exert a growing influence on society at large. The growing impact of these systems has also highlighted potential issues that may arise from their utilization, such as data privacy issues, resulting in calls for ethical AI systems. Yet, how to develop ethical AI systems remains an important question in the area. How should the principles and values be converted into requirements for these systems, and what should developers and the organizations developing these systems do? To further bridge this gap in the area, in this paper, we present a method for implementing AI ethics: ECCOLA. Following a cyclical action res…
Fashion Technology : What Are the Limits of Emerging Technological Design Thinking?
2021
Designing intelligent technologies is a multidisciplinary process. From this perspective, fashion has continued to be an under explored dimension of technology design. While there persistently are connections between the term fashion and the clothing design industry, an historical and sociological approach to fashion reveals a much deeper and permeating understanding of the notion and its implications across the technological world. During recent popular developments, the interrelationship between fashion as a concept and technology as components and proponents of fashion – technology as fashion promoter (think of Tiktok, Instagram, Facebook and even LinkedIn for example), and technology as…
System Design Principles for Intergenerational Knowledge Sharing
2022
Up to four generations are potentially involved in education and workspaces. This means that people of different generations can increasingly learn together and share knowledge virtually in the digital age. Nevertheless, the principles for designing systems to support intergenerational knowledge sharing (IKS) are inconclusive. Our results demonstrate the value of applying design science research methodology to capture design principles for IKS systems. We articulate what design goals should be considered and bring more conceptual clarity to this phenomenon by presenting five design principles: a) positive personalization, b) progressive design ecosystem, c) effectual system design, d) itera…
Hume’s Guillotine in Designing Ethically Intelligent Technologies
2020
Intelligent machines can follow ethical rules in their behaviour. However, it is less clear whether intelligent systems can also create new ethical principles. The former position can be called weak ethical AI and the latter strong ethical AI. Hume’s guillotine which claims that one cannot derive values from facts appears to be a fundamental obstacle to strong ethical AI. The analysis of human ethical information processes provides clarity to the possibility of strong ethical AI. Human ethical information processing begins with positive of negative emotions associated to situations. Situations can be seen as consequences of actions and for this reason people can define rules about acceptabi…
Defining Complexity Factors for Architecture Evaluation Framework
2006
The design and implementation of telecommunication systems is an incremental and iterative process, and system architectures may need to be revised and refined several times during their lifetime. Formal evaluation facilitates the identification of the weak points, where improvements are due in these architectures. In the domain of telecommunications, such evaluation can be based on the Architecture Evaluation Framework (AEF). During the evaluation, a deep understanding of the processes within a system is needed. Meanwhile, the systems being designed are usually complex systems encompassing a large number of components with an intricate pattern of interaction between them. As a result, it i…