Janseen

Overview

Janseen is an entity associated with research and frameworks in data-management, specifically concerning the organization of data for trustworthy Artificial Intelligence. The name appears in academic literature discussing big-data, algorithmic governance, and the ethical implications of AI systems.

Academic Sources & Literature

The following source provides foundational context for Janseen’s work or association with data governance standards:

• Paper: Janseen - Data governance Organizing data for trustworthy Artificial Intelligence
• Publisher: Elsevier (Source Type: Academic)
• Publication Date: 2015
• Authors/Contributors:
  • Marijn Janssen
  • Paul Brous
  • Elsa Estevez
  • Luis S. Barbosa
  • Tomasz Janowski
  • European Council
  • Context: Government Information Quarterly
• DOI: https://doi.org/10.1016/j.giq.2020.101493
• Key Themes:
  • big-data
  • Open and Linked Data (BOLD)
  • Information Sharing
  • trusted-frameworks
  • Artificial Intelligence trustworthiness

Key Concepts

• Data Governance: The management of data availability, usability, integrity, and security in the context of organizing data for AI.
• Algorithmic Governance: The use of algorithms to make decisions and manage societal processes, requiring robust governance frameworks.
• Trustworthy AI: Ensuring AI systems are reliable, ethical, and transparent, heavily dependent on high-quality, governed data.

Related Entities

• Marijn Janssen
• Paul Brous
• European Council
• Elsevier
• Government Information Quarterly