AICenter Library

Welcome to the AICenter Library, a curated collection of resources related to artificial intelligence (AI). We offer a variety of materials, including articles, reports, theses, and guidelines, to support public understanding, research, education, and professional development in the field of AI.

Explore our collection:

Internal Research Reports

This category includes reports from internal research initiatives or technical explorations conducted by AICenter. These documents may include feasibility studies, project summaries, or experimental findings.

• Navigating the AI Frontier, Empowering Leaders for Digital Transformation (Link to the library entry)

  This exploratory research delves into the crucial role of leadership in navigating the complexities of AI integration and digital transformation. It examines how organizations can leverage AI for innovation, efficiency, and ethical decision-making while addressing challenges such as bias and data governance.

Theses

This section includes academic research projects submitted as part of degree programs. These documents provide insights into specialized topics and methodologies in artificial intelligence and related fields.

• Artificial Intelligence and Automated Decision-Making systems adoption by the public sector (Link to the library entry)

  This thesis investigates how Swedish public sector organizations adopt and manage AI and automated decision-making systems, focusing on transparency and accountability. It features case studies of the Swedish Tax Agency and Trelleborg Municipality, offering valuable insights for policymakers and AI practitioners.

Research Articles

This category features scientific papers and academic publications. These works present findings from research conducted by AICenter members or collaborators, contributing to the advancement of AI knowledge.

Editorials & Opinion Pieces

This section contains informal writings, including opinion articles and editorials published on various platforms or newsletters. These pieces reflect the perspectives and thought leadership of AICenter members.

• The Human-Centered AI Shift - Empowering Communities to Shape the Future (Link to the library entry)

  This article proposes a responsible AI governance framework for Sweden and Europe, drawing parallels with automotive industry regulations. It argues for focusing on AI's application and societal impact rather than hindering innovation. The piece adapts key elements of car regulation to ensure transparency, fairness, and accountability in AI development and deployment. By identifying core AI stakeholders, it emphasizes the need for robust governance to safeguard rights, promote values, and foster an ethical AI ecosystem while balancing innovation with responsible implementation.

• "AI in Process" – Unlocking Economic and Societal Value (Link to the library entry)

  This article advocates for a human-centered AI approach, stressing public engagement to address AI's societal impact. It introduces the AI Shift initiative, designed to involve Swedish communities in AI discussions. The piece highlights AI Ambassadors' role in facilitating local dialogues and incorporating diverse perspectives into national AI strategies, aiming to align AI innovation with societal progress.

• Europe’s AI Factories – A Step Forward, But Is It Enough? (Link to the library entry)

  This AI Center publication examines the EU's AI Factory initiative amid global AI competition. It proposes a "dual strategy" to accelerate technological development while strengthening governance frameworks. The article highlights Europe's unique challenges due to fragmentation and advocates for infrastructure-first innovation that integrates ethical and legal considerations. Using healthcare AI as an example, it emphasizes balancing innovation with public safety and calls for collaborative efforts to secure Europe's leadership in responsible AI development.

• From Cars to AI – A European Blueprint for Responsible Governance (Link to the library entry)

  This AI Center article draws parallels between automotive industry regulation and responsible AI governance in Sweden and Europe. It emphasizes focusing on AI's application and societal impact rather than the technology itself. The piece explores how concepts from vehicle regulation can ensure AI transparency, fairness, and accountability. It identifies key AI stakeholders and stresses the importance of proactive governance to balance innovation with societal values and individual rights.

Guidelines and Governance Frameworks

This section offers documents that outline governance principles, frameworks, and strategies for AI development and application. These materials aim to guide responsible decision-making and oversight in AI projects.

Here is the revised "Guidelines and Governance Frameworks" section, formatted to match the style of other sections in the Digital Library file, with each item having a title, link, and description:

• Articles of Association (View Document)

  The foundational document defining the structure, purpose, and operational principles of the AICenter. It ensures transparency and accountability in its governance.

• Understanding the AICenter's Articles of Association (AoA) (Link to the library entry)

  A detailed explanation of the AICenter's Articles of Association, providing insights into its key provisions and implications for governance.

• AI Initiatives (Understanding AI Initiatives)

  This document explores the concept of AI Initiatives within the AICenter, highlighting their role in collaboration, innovation, and knowledge sharing.

• The Four Cornerstones of the AICenter (Link to the library entry)

  This document outlines the foundational principles that guide the AICenter's operations and strategic initiatives.

• AICenter Strategic Framework (ASF) (Link to the library entry)

  A comprehensive framework that defines the strategic goals and priorities of the AICenter to advance AI research and development responsibly.

• AICenter Enablement Framework (AEF) (Link to the library entry)

  This framework provides guidelines for enabling effective collaboration, resource allocation, and project execution within the AICenter.

• PAC Strategy Framework (PACSF) (Link to the library entry)

  The PACSF introduces the Preparation-Assessment-Certification (PAC) concept as a structured approach to align all programs, services, and revenue-generating activities with AICenter’s mission. It establishes a standardized process for designing and implementing initiatives while fostering scalability and innovation.

E-Books and Monographs

Long-form publications authored or co-authored by AICenter members are featured here. These works provide comprehensive discussions on AI-related topics for deeper learning.

Miscellaneous (Others)

A flexible category for materials that do not fit into other classifications. It may include presentations, multimedia content, datasets, or other unique resources relevant to AI research and practice.

This library is continuously updated. Check back regularly for new additions.