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 frameless|250px|right 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 and 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 Complete Alphabetical List of References Humanities