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2,752 papers
AI delegation can remove the comparison evidence needed to establish whether automation continues to improve outcomes. This paper develops the counterfactual preservation principle: sustained claims of current comparative benefit require a continuing source of identification whose temporal relevance remains defensible....
Artificial intelligence is usually analysed as a productivity technology, a labour-market shock, or a governance problem. This article argues that its deeper political significance may arise from a fourth channel: ontological displacement. Ontological displacement occurs when a technology weakens the socially recognise...
A person-centred framework of hermeneutic sovereignty for generative AI is developed and concludes that trustworthy AI must preserve not only a human role in decisions, but a meaningful human standing in the production of the interpretations on which decisions depend.
Institutions are beginning to use multiple large language models, AI agents, automated reviewers, and human overseers as if agreement among them were independent corroboration. That assumption can fail. This paper develops the Synthetic Consensus Cascade (SCC) framework, a multidisciplinary mathematical model linking c...
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Institutions are beginning to use multiple large language models, AI agents, automated reviewers, and human overseers as if agreement among them were independent corroboration. That assumption can fail. This paper develops the Synthetic Consensus Cascade (SCC) framework, a multidisciplinary mathematical model linking c...
This paper critically examines the pervasive yet often unsubstantiated notion that we are living in an algorithmically determined world. While popular discourse and some academic literature suggest a monolithic takeover by algorithmic systems, this research argues for a more nuanced and empirically grounded understandi...
This paper critically examines the pervasive yet often unsubstantiated notion that we are living in an algorithmically determined world. While popular discourse and some academic literature suggest a monolithic takeover by algorithmic systems, this research argues for a more nuanced and empirically grounded understandi...
The emergence of artificial intelligence as a creative force has fundamentally challenged traditional conceptions of authorship, creativity, and intellectual property ownership. This analysis presents six novel theoretical frameworks that transcend current academic discourse on AI art ownership, drawing from extensive...
The emergence of artificial intelligence as a creative force has fundamentally challenged traditional conceptions of authorship, creativity, and intellectual property ownership. This analysis presents six novel theoretical frameworks that transcend current academic discourse on AI art ownership, drawing from extensive...
The question of whether algorithms can be considered epistemic agents represents one of the most profound challenges at the intersection of philosophy of mind, epistemology, and artificial intelligence. This paper develops a novel theoretical framework for understanding algorithmic epistemic agency through the introduc...
The question of whether algorithms can be considered epistemic agents represents one of the most profound challenges at the intersection of philosophy of mind, epistemology, and artificial intelligence. This paper develops a novel theoretical framework for understanding algorithmic epistemic agency through the introduc...
The emergence of ChatGPT and similar large language models has precipitated fundamental questions about the nature and distribution of epistemic authority in contemporary knowledge systems. This comprehensive analysis examines whether ChatGPT undermines human epistemic authority through a multi-dimensional theoretical...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
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