Taking Bearings: Artificial Intelligence in Knowledge Platforms and Open, Social Scholarship

Faraz Forghan Parast, Kyle Dase, Thomas Sherriff, Tahmineh Farnoud, Alan Colin Arce, Brittany Amell, Graham Jensen, Tim Sobie, and Ray Siemens, with the Implementing New Knowledge Environments (INKE) and Electronic Textual Cultures Lab (ETCL) Research Groups

Table of Contents

Essential Ideas

• Executive Summary
• Summative Overview
• Recommendations

Introduction: A Detailed Analytical Overview

• Mapping the Terrain
• Four Cross-Cutting Tensions
• Fundamentals and Ideologies of AI
• Geographic Diversity in AI Imaginaries
• Knowledge Foundations
• Open Social Scholarship Principles
• AI and “Open”
• AI and “Social”
• AI and “Scholarship”
• Audiences and Differential Impacts
• Phenomena, Relations, and Ongoing Inquiry
• Conceptual Mapping
• Focused Areas for Further Intervention

Essential Contexts

• Histories & Theories of AI
• Past Relation to OSS-Aligned Communities
• Bias and Technological Determinism
• Knowledge Foundations
• Open Social Scholarship

AI and “Open”

• Open Access
• Open Data
• Open Source
• Open Science

AI and “Social”

• Platforms
• Governance, Leadership, and Policy
• Critical Literacies
• Globalism, Colonialism and Influence
• Diversity, Determinism, Bias and Justice
• Community, Connection and the Human
• Human, Labour and Environmental Costs

AI and “Scholarship”

• Research Methods and Practices
• Forms of Research Output
• Teaching and Pedagogy
• Service and Peer Review
• AI and Scholarship Infrastructures
  • Organizational Infrastructures
  • Publishing, Communication, Engagement Infrastructures
  • Accountability-related Infrastructures
• Audience