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human-computer interaction

2,089 papers

#human-computer interacti... Open access Sep 2026

The Conjunctive Misfortune Problem: Behavioural Tail Risk, Outcome Luck, and Punishment Cascades

A serious behavioural failure may be uncommon within a person’s history yet become the principal basis for judgments of character and future risk. This conceptual article develops the conjunctive misfortune problem: adverse conditions, culpable action, stochastic harm, categorical institutional responses, and persisten...

Kwan Hong TAN · 0 citations
#human-computer interacti... Open access Sep 2026

The Conjunctive Misfortune Problem: Behavioural Tail Risk, Outcome Luck, and Punishment Cascades

A serious behavioural failure may be uncommon within a person’s history yet become the principal basis for judgments of character and future risk. This conceptual article develops the conjunctive misfortune problem: adverse conditions, culpable action, stochastic harm, categorical institutional responses, and persisten...

Kwan Hong TAN · 0 citations
#natural language process... Open access Sep 2026

Atypical Failure, Maximal Consequence: Bayesian Character Inference, Threshold Outcome Luck, and Multiplicative Punishment Cascades

This conceptual article develops a formal theory of atypical human failure in which severe life-course consequences can emerge from a conjunction of adverse conditions, a low-frequency behavioural lapse, stochastic outcome mechanics, categorical legal or institutional thresholds, and dynamically propagating collateral...

Kwan Hong TAN · 0 citations
#natural language process... Open access Sep 2026

Atypical Failure, Maximal Consequence: Bayesian Character Inference, Threshold Outcome Luck, and Multiplicative Punishment Cascades

This conceptual article develops a formal theory of atypical human failure in which severe life-course consequences can emerge from a conjunction of adverse conditions, a low-frequency behavioural lapse, stochastic outcome mechanics, categorical legal or institutional thresholds, and dynamically propagating collateral...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Sep 2026

The Post-Economic Human: Artificial Intelligence, Ontological Displacement, and the Ideological Foundations of Future Conflict

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...

Kwan Hong TAN · 0 citations
#artificial intelligence Review Open access Sep 2026

Hermeneutic Sovereignty under Generative AI: A Humanities Framework for Protecting Human Meaning-Making from Interpretive Foreclosure

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.

Kwan-Hong Tan · 0 citations
#machine learning Open access Aug 2026

Are Our Current Rational Decision-Making Models Truly Rational? A Critical Analysis and a New Neurobiological Framework

This paper critically examines the foundational assumptions of rational decision-making models and finds them to be systematically and comprehensively flawed. Through a rigorous analysis of empirical evidence from behavioral economics and neuroscience, we demonstrate that traditional models, such as Expected Utility Th...

Kwan Hong TAN · 0 citations
#machine learning Open access Aug 2026

Are Our Current Rational Decision-Making Models Truly Rational? A Critical Analysis and a New Neurobiological Framework

This paper critically examines the foundational assumptions of rational decision-making models and finds them to be systematically and comprehensively flawed. Through a rigorous analysis of empirical evidence from behavioral economics and neuroscience, we demonstrate that traditional models, such as Expected Utility Th...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

Are Predictive Models Epistemically Superior to Causal Ones?

This thesis investigates the complex and often contentious question of whether predictive models are epistemically superior to causal models. It challenges the simplistic dichotomy that often frames this debate, arguing that the epistemic superiority of a model is not an intrinsic property but is contingent upon the sp...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

Are Predictive Models Epistemically Superior to Causal Ones?

This thesis investigates the complex and often contentious question of whether predictive models are epistemically superior to causal models. It challenges the simplistic dichotomy that often frames this debate, arguing that the epistemic superiority of a model is not an intrinsic property but is contingent upon the sp...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

How Should We Understand Truth in Fluctuational Epistemology?

This paper develops a novel account of truth grounded in fluctuational epistemology, a framework that situates knowledge within the ontological instability of reality. Traditional theories—correspondence, coherence, pragmatic, and deflationary—assume varying degrees of stability in the relation between propositions and...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

How Should We Understand Truth in Fluctuational Epistemology?

This paper develops a novel account of truth grounded in fluctuational epistemology, a framework that situates knowledge within the ontological instability of reality. Traditional theories—correspondence, coherence, pragmatic, and deflationary—assume varying degrees of stability in the relation between propositions and...

Kwan Hong TAN · 0 citations

From tech blogs

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Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

MIT News · Artificial Intelligence Oct 23, 2026

Reinforcing the value of human understanding at MIT

During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”

MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

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