How well can large language models explain business processes?

no code implementations • 23 Jan 2024 • Dirk Fahland, Fabian Fournier, Lior Limonad, Inna Skarbovsky, Ava J. E. Swevels

The functionality of these services is to elicit the various knowledge ingredients that underlie SAX explanations.

Hallucination

The WHY in Business Processes: Discovery of Causal Execution Dependencies

no code implementations • 23 Oct 2023 • Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Yuval David

We demonstrate our methodology employing two open process mining algorithms, the IBM Process Mining tool, and the LiNGAM causal discovery technique.

Causal Discovery

Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition

no code implementations • 16 Oct 2023 • Hadar Mulian, Segev Shlomov, Lior Limonad, Alessia Noccaro, Silvia Buscaglione

In this study, we examine the potential of a virtual AI teacher in emulating the techniques of human educators for motor skill acquisition.

Imitation Learning reinforcement-learning

AI-Augmented Business Process Management Systems: A Research Manifesto

no code implementations • 30 Jan 2022 • Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana-Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen Völzer, Ingo Weber

AI-Augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology.

Management

Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions

no code implementations • 16 Jan 2020 • Assaf Marron, Lior Limonad, Sarah Pollack, David Harel

When developing autonomous systems, engineers and other stakeholders make great effort to prepare the system for all foreseeable events and conditions.

Ethics