RD
Authored
3 records found
Value Inference in Sociotechnical Systems
Blue Sky Ideas Track
As artificial agents become increasingly embedded in our society, we must ensure that their behavior aligns with human values. Value alignment entails value inference, the process of identifying values and reasoning about how humans prioritize values. We introduce a holistic fram
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Dismantling Digital Cages
Examining Design Practices for Public Algorithmic Systems
Algorithmic systems used in public administration can create or reinforce digital cages. A digital cage refers to algorithmic systems or information architectures that create their own reality through formalization, frequently resulting in incorrect automated decisions with sever
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Toward Sociotechnical AI
Mapping Vulnerabilities for Machine Learning in Context
This paper provides an empirical and conceptual account on seeing machine learning models as part of a sociotechnical system to identify relevant vulnerabilities emerging in the context of use. As ML is increasingly adopted in socially sensitive and safety-critical domains, many
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Contributed
17 records found
AI Governance in the City of Amsterdam
Scrutinising Vulnerabilities of Public Sector AI Systems
Scandals in which governmental ADM tools played a role, have recently brought
about political and societal debate about the potential harms to citizens that such automated systems potentially bring. This thesis focuses on ADM systems which contain an AI component. Based on the kn
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Guiding the specification of sociotechnical Machine Learning systems
Addressing vulnerabilities and challenges in Machine Learning practice
There is a need for a more comprehensive sociotechnical systems view on ML. Such a view looks at the development and use of an ML system in practice as being a sociotechnical ML system: "a system consisting of technical artefacts, human agents and institutions, in which a machine
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The use of Automated Decision Making (ADM) systems in the public sector will become increasingly prevalent in the future, making citizens increasingly likely to be confronted with decisions that have been made fully automatically, without human intervention. Ever more digitizatio
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Techno-Optimism and its Impact on Civil Servant Decision Making
A Case Study and Insights into AI Case Routing for Welfare Benefits Allocation
In our thesis, we conducted an in-depth exploration of the integration of Artificial Intelligence (AI) in public sector decision-making, focusing particularly on AI case routing for welfare benefits allocation. Initially, our research was guided by a techno-optimistic viewpoint,
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Solidarity in EV charging
A discrete choice experiment to assess interest in charging schemes
Currently, the electricity grid in the Netherlands is reaching its capacity, resulting in congestion issues. One of the factors that causes the electricity grid to become overloaded is the increasing use of EVs (electric vehicles). A situation in which a large number of EV users
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Social Prioritization for the Energy Grid
Energy Justice Evaluation and Impact Analysis
The electricity grid in the Netherlands is highly congested and poses a significant challenge due to increasing demand and the transition to sustainable energy sources, which overwhelms the existing infrastructure. To address this issue, Distribution System Operators (DSOs) like
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Situating Explainable AI in the socio-technical context
A system safety inspired approach to operationalizing explainability
Explainable AI is the field concerned with trying to make AI understandable to humans. While efforts have resulted in significant improvement in research and practical methods of Explainable AI, there is an urgent need for additional research and empirical studies. The academic r
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Design guidelines to protect stakeholders’ values in AI systems
Based on a use case situated in the Japanese life insurance industry
Integrating artificial intelligence (AI) into Japan's life insurance sector marks a significant move towards data-centric precision, reflecting the nation's shift towards Society 5.0. In this domain, AI is revolutionizing decision-making processes and enhancing operational effici
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Citizen safety in governmental AI-supported decision-making
An explorative systems perspective using design science for innovative reaearch
Governmental AI-supported decision-making is paramount when impacting citizens. Citizens are subject to their government’s decision-making, which is crucial when they transact, as examining the transaction’s rightfulness is executed by the same government. Thus, control and monit
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Towards an equitable solar energy transition
On reaching the solar climate goals in Amsterdam - a socioeconomic perspective on solar energy adoption using a data-driven modeling technique
To combat the effects of climate change, there is a worldwide shift to reduced emissions and increased use of renewable energy sources. Solar energy is a vital part of this transition and necessary to be able to achieve the targets. The rapid pace of adaptation raises questions a
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Governing Algorithmic Systems in the Social Domain
Providing a socio-technical description of algorithmic systems in the SUWI-domain using Systems Safety and Actor Analyses
This research looked into Algorithmic Systems used in the execution of the SUWI-law by executing agencies. It analysed the use and governance of these systems and their possible harms to citizens and society by means of an Actor Analysis and System-Theoretical Process Analysis (S
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Governing Algorithmic Systems in the Social Domain
Providing a socio-technical description of algorithmic systems in the SUWI-domain using Systems Safety and Actor Analyses
This research looked into Algorithmic Systems used in the execution of the SUWI-law by executing agencies. It analysed the use and governance of these systems and their possible harms to citizens and society by means of an Actor Analysis and System-Theoretical Process Analysis (S
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Mitigating Congestion on the Low-Voltage Electricity Network
Identifying the bottlenecks for widespread demand response
The Dutch electricity network is shifting from a centralized, unidirectional system to a decentralized, bidirectional one, driven by renewable energy integration and increased electrification. This transition poses challenges, particularly low-voltage grid congestion. The study i
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Mitigating Congestion on the Low-Voltage Electricity Network
Identifying the bottlenecks for widespread demand response
The Dutch electricity network is shifting from a centralized, unidirectional system to a decentralized, bidirectional one, driven by renewable energy integration and increased electrification. This transition poses challenges, particularly low-voltage grid congestion. The study i
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Mitigating Congestion on the Low-Voltage Electricity Network
Identifying the bottlenecks for widespread demand response
The Dutch electricity network is shifting from a centralized, unidirectional system to a decentralized, bidirectional one, driven by renewable energy integration and increased electrification. This transition poses challenges, particularly low-voltage grid congestion. The study i
...
Large Language Models in Banking
Lessons from a Low Resource Language Region
This thesis investigates the integration of Large Language Models (LLMs) within large organizations operating in low resource language (LRL) regions, with a particular focus on Íslandsbanki, one of the prominent banks in Iceland currently grappling with the adoption of LLM techno
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Controlling the Point of Emergence
Safety control interventions to curb digital cages in social welfare
The thesis explores the complexities and risks associated with Automated Decision-Making (ADM) systems in social welfare, focusing on the phenomenon of ”digital cages.” The digital cage concept refers to a situation where rigid systems, perpetuated through algorithmic misclassifi
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