114 citations · 339 across the 21 of their papers we have counts for
23 papers
Co-constructing sociotechnical AI governance: participatory system mapping using algorithm registers
Íñigo de Troya, Maurus Enbergs, Neelke Doorn +1
Algorithm registers have been championed as a means of providing transparency on the use of algorithms in public services. Yet potential publics differ in their expectations of wha…
Big AI's Regulatory Capture: Mapping Industry Interference and Government Complicity
Abeba Birhane, Riccardo Angius, William Agnew +4
Over the past decade, the AI industry has come to exert an unprecedented economic, political and societal power and influence. It is therefore critical that we comprehend the exten…
Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles
Siddharth Mehrotra, Jin Huang, Xuelong Fu +3
Background: Trustworthy AI serves as a foundational pillar for two major AI ethics conferences: AIES and FAccT. However, current research often adopts techno-centric approaches, fo…
From Data-Driven to Purpose-Driven Artificial Intelligence: Systems Thinking for Data-Analytic Automation of Patient Care
Daniel Anadria, Roel Dobbe, Anastasia Giachanou +6
In this work, we reflect on the data-driven modeling paradigm that is gaining ground in AI-driven automation of patient care. We argue that the repurposing of existing real-world p…
AI Safety is Stuck in Technical Terms -- A System Safety Response to the International AI Safety Report
Roel Dobbe
Safety has become the central value around which dominant AI governance efforts are being shaped. Recently, this culminated in the publication of the International AI Safety Report…
From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems
Shalaleh Rismani, Roel Dobbe, AJung Moon
To effectively address potential harms from Artificial Intelligence (AI) systems, it is essential to identify and mitigate system-level hazards. Current analysis approaches focus o…
AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations
Adam Dahlgren Lindström, Leila Methnani, Lea Krause +4
This paper critically evaluates the attempts to align Artificial Intelligence (AI) systems, especially Large Language Models (LLMs), with human values and intentions through Reinfo…
Concrete Problems in AI Safety, Revisited
Inioluwa Deborah Raji, Roel Dobbe
As AI systems proliferate in society, the AI community is increasingly preoccupied with the concept of AI Safety, namely the prevention of failures due to accidents that arise from…
Algorithms as Social-Ecological-Technological Systems: an Environmental Justice Lens on Algorithmic Audits
Bogdana Rakova, Roel Dobbe
This paper reframes algorithmic systems as intimately connected to and part of social and ecological systems, and proposes a first-of-its-kind methodology for environmental justice…
System Safety and Artificial Intelligence
Roel I. J. Dobbe
This chapter formulates seven lessons for preventing harm in artificial intelligence (AI) systems based on insights from the field of system safety for software-based automation in…
Hard Choices in Artificial Intelligence
Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz
As AI systems are integrated into high stakes social domains, researchers now examine how to design and operate them in a safe and ethical manner. However, the criteria for identif…
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz
As AI systems become prevalent in high stakes domains such as surveillance and healthcare, researchers now examine how to design and implement them in a safe manner. However, the p…
Regression-based Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation
Oscar Sondermeijer, Roel Dobbe, Daniel Arnold +2
Electronic power inverters are capable of quickly delivering reactive power to maintain customer voltages within operating tolerances and to reduce system losses in distribution gr…
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics
Roel Dobbe, Sarah Dean, Thomas Gilbert +1
Machine learning (ML) is increasingly deployed in real world contexts, supplying actionable insights and forming the basis of automated decision-making systems. While issues result…
Towards Distributed Energy Services: Decentralizing Optimal Power Flow with Machine Learning
Roel Dobbe, Oscar Sondermeijer, David Fridovich-Keil +3
The implementation of optimal power flow (OPF) methods to perform voltage and power flow regulation in electric networks is generally believed to require extensive communication. W…
Customized Local Differential Privacy for Multi-Agent Distributed Optimization
Roel Dobbe, Ye Pu, Jingge Zhu +2
Real-time data-driven optimization and control problems over networks may require sensitive information of participating users to calculate solutions and decision variables, such a…
Linear Single- and Three-Phase Voltage Forecasting and Bayesian State Estimation with Limited Sensing
Roel Dobbe, Werner van Westering, Stephan Liu +3
Implementing state estimation in low and medium voltage power distribution is still challenging given the scale of many networks and the reliance of traditional methods on a large…
Optimal Voltage Phasor Regulation for Switching Actions in Unbalanced Distribution Systems
Michael D. Sankur, Roel Dobbe, Alexandra von Meier +2
The proliferation of phasor measurement units (PMUs) into electric power distribution grids presents new opportunities for utility operators to manage distribution systems more eff…
Blind Identification of Fully Observed Linear Time-Varying Systems via Sparse Recovery
Roel Dobbe, Stephan Liu, Ye Yuan +1
Discrete-time linear time-varying (LTV) systems form a powerful class of models to approximate complex dynamical systems with nonlinear dynamics for the purpose of analysis, design…
On Identification of Distribution Grids
Omid Ardakanian, Vincent W. S. Wong, Roel Dobbe +4
Large-scale integration of distributed energy resources into residential distribution feeders necessitates careful control of their operation through power flow analysis. While the…
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
Roel Dobbe, David Fridovich-Keil, Claire Tomlin
Learning cooperative policies for multi-agent systems is often challenged by partial observability and a lack of coordination. In some settings, the structure of a problem allows a…
Event Detection and Localization in Distribution Grids with Phasor Measurement Units
Omid Ardakanian, Ye Yuan, Roel Dobbe +3
The recent introduction of synchrophasor technology into power distribution systems has given impetus to various monitoring, diagnostic, and control applications, such as system id…
A Linearized Power Flow Model for Optimization in Unbalanced Distribution Systems
Michael D. Sankur, Roel Dobbe, Emma Stewart +2
Optimal Power Flow (OPF) is an important tool used to coordinate assets in electric power systems to ensure customer voltages are within pre-defined tolerances and to improve distr…