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Found 8 papers, 1 papers with code
Concrete Problems in AI Safety, Revisited
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 an unanticipated departure of a system's behavior from designer intent in AI deployment.
Hard Choices in Artificial Intelligence
In this paper, we examine the vagueness in debates about the safety and ethical behavior of AI systems.
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
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.
Regression-based Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation
Electronic power inverters are capable of quickly delivering reactive power to maintain customer voltages within operating tolerances and to reduce system losses in distribution grids.
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics
Machine learning (ML) is increasingly deployed in real world contexts, supplying actionable insights and forming the basis of automated decision-making systems.
Towards Distributed Energy Services: Decentralizing Optimal Power Flow with Machine Learning
We consider distribution systems with multiple controllable Distributed Energy Resources (DERs) and present a data-driven approach to learn control policies for each DER to reconstruct and mimic the solution to a centralized OPF problem from solely locally available information.
On Identification of Distribution Grids
Large-scale integration of distributed energy resources into residential distribution feeders necessitates careful control of their operation through power flow analysis.
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
Learning cooperative policies for multi-agent systems is often challenged by partial observability and a lack of coordination.
