collaborators

10 papers

cs.CL2026

Automated Detection and Structuring of Social Tipping Point Evidence in Climate related Documents: A Modular AI Framework

Kavindu Perera, Mohammad Abaeiani, Ekaterina Gilman +14

The climate literature has grown faster than review teams can read it. That gap matters most for a concept like the environmental social tipping point, the threshold at which a sma…

cs.DC2026

DRLM: Deep Reinforcement Learning-Based LLM Query Orchestration in Edge Environments

Reza Farahani, Zoha Azimi Ourimi, Mario Colosi +3

Large language model (LLM) services increasingly process heterogeneous queries with diverse latency, accuracy, and resource requirements. While edge deployment reduces response tim…

cs.DC2026

Neural Router: Semantic Content Matching for Agentic AI

Lauri Lovén, Abhishek Kumar, Alexander Engelhardt +5

Large language models (LLMs) can serve as the semantic-matching engine of a content-based publish/subscribe broker for agentic AI across the edge-cloud computing continuum, bridgin…

cs.CY2026

Institutions for the Post-Scarcity of Judgment

Lauri Lovén

Each major technological revolution inverts a particular scarcity and rebuilds institutions around the shift. The near-consensus diagnosis of the AI revolution holds that AI collap…

cs.LG2026

The Behavioral Credibility Trilemma: When Calibrated Autonomy Becomes Impossible

Lauri Lovén, Nam Do, Hassan Mehmood +2

We prove that no reinforcement learning policy with confidence-gated autonomy can simultaneously achieve maximum helpfulness, optimal calibration, and full autonomy under rational…

cs.GT2026

The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting

Lauri Lovén, Sasu Tarkoma

An agent's probability report is paid for twice: by a strictly proper scoring rule, and by an approval rule for the decision it triggers. In this classical decision-coupled setting…

cs.GT2026

Honest Reporting in Scored Oversight: True-KL0 Property via the Prekopa Principle

Lauri Lovén

We prove the True-KL property for a parametric family of heterogeneous scoring rules arising in scored elicitation mechanisms (AI oversight, forecasting, expert surveys). An ag…

cs.CY2026

AI-Augmented Science and the New Institutional Scarcities

Lauri Lovén

Artificial intelligence now produces convincing-looking scientific judgment (reviews, rankings, attributions, verifications) at almost no marginal cost. An influential reading of A…

cs.AI2026

Agentic Service Markets Across the Computing Continuum: A Polymatroidal Architecture

Lauri Lovén, Alaa Saleh, Reza Farahani +5

Autonomous AI agents are becoming economic actors. They compose deadline-bound services across the device-edge-cloud continuum and contend for capacity no single operator owns. Thi…

cs.AI2026

Integrating Generative AI-enhanced Cognitive Systems in Higher Education: From Stakeholder Perceptions to a Conceptual Framework considering the EU AI Act

Da-Lun Chen, Prasasthy Balasubramanian, Lauri Lovén +3

Many staff and students in higher education have adopted generative artificial intelligence (GenAI) tools in their work and study. GenAI is expected to enhance cognitive systems by…