35 citations · 38 across the 7 of their papers we have counts for
7 papers
The Many-Body Problem of the Data Centre
Marcin Korecki, Cesare Carissimo
Modern Artificial Intelligence is often framed as limited by its own disembodiment, as if giving it a body would unlock its true potential. We argue to the contrary that it is the…
Does Capital Dream of Artificial Labour?
Marcin Korecki, Cesare Carissimo
This paper investigates the concept of Labour as an expression of `timenergy' - a fusion of time and energy - and its entanglement within the system of Capital. We define Labour as…
Overcoming the Price of Anarchy by Steering with Recommendations
Cesare Carissimo, Marcin Korecki, Damian Dailisan
Varied real world systems such as transportation networks, supply chains and energy grids present coordination problems where many agents must learn to share resources. It is well…
Capital as Artificial Intelligence
Cesare Carissimo, Marcin Korecki
We gather many perspectives on Capital and synthesize their commonalities. We provide a characterization of Capital as a historical agential system and propose a model of Capital u…
LLM Voting: Human Choices and AI Collective Decision Making
Joshua C. Yang, Damian Dailisan, Marcin Korecki +2
This paper investigates the voting behaviors of Large Language Models (LLMs), specifically GPT-4 and LLaMA-2, their biases, and how they align with human voting patterns. Our metho…
Biospheric AI
Marcin Korecki
The dominant paradigm in AI ethics and value alignment is highly anthropocentric. The focus of these disciplines is strictly on human values which limits the depth and breadth of t…
Dynamic value alignment through preference aggregation of multiple objectives
Marcin Korecki, Damian Dailisan, Cesare Carissimo
The development of ethical AI systems is currently geared toward setting objective functions that align with human objectives. However, finding such functions remains a research ch…