English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The growing number of AI applications, also for high-stake decisions,increases the interest in Explainable and Interpretable Machine Learning(XI-ML). This trend can be seen both in the increasing number of regulationsand strategies for developing trustworthy AI and the growing number ofscientific papers dedicated to this topic. To ensure the sustainabledevelopment of AI, it is essential to understand the dynamics of the impact ofregulation on research papers as well as the impact of scientific discourse onAI-related policies. This paper introduces a novel framework for joint analysisof AI-related policy documents and eXplainable Artificial Intelligence (XAI)research papers. The collected documents are enriched with metadata andinterconnections, using various NLP methods combined with a methodologyinspired by Institutional Grammar. Based on the information extracted fromcollected documents, we showcase a series of analyses that help understandinteractions, similarities, and differences between documents at differentstages of institutionalization. To the best of our knowledge, this is the firstwork to use automatic language analysis tools to understand the dynamicsbetween XI-ML methods and regulations. We believe that such a systemcontributes to better cooperation between XAI researchers and AI policymakers.

MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence