Professor Joseph Feller

Pioneering AI Fluency and Open Innovation at the Intersection of Human and Machine Intelligence

Bank of Ireland Professor of Business Information Systems, UCC | Co-Creator of the AI Fluency Framework | Open Source Software Pioneer | Commons & Peer Production Expert

Bridging Human Creativity and Machine Intelligence

Professor Joseph Feller stands at the forefront of understanding how humans and AI systems can collaborate effectively, having co-developed the AI Fluency Framework that's now being deployed globally through partnerships with Anthropic and the Irish Higher Education Authority. As Bank of Ireland Professor of Business Information Systems and Head of Department at Cork University Business School, his research trajectory from open source software pioneer to AI-human collaboration expert positions him uniquely to understand collective intelligence in both human and hybrid systems.

5,082+ Research Citations
3 Anthropic MOOCs
200+ Publications
25+ Years Research

His pioneering work spans from foundational research on commons-based peer production and open source software to cutting-edge frameworks for AI-human collaboration. As founding president of SIGOPEN (Special Interest Group on Open Research and Practice), he has shaped global discourse on openness, transparency, and collective intelligence.

The AI Fluency Framework: Defining Human-AI Collaboration

The 4Ds of AI Fluency

Co-developed with Prof. Rick Dakan (Ringling College of Art and Design), the AI Fluency Framework provides a comprehensive model for effective, efficient, ethical, and safe AI interaction.

Delegation

Deciding when tasks should be performed by humans or by AI systems

Description

Communicating effectively with AI through prompting and context

Discernment

Evaluating and validating AI outputs critically

Diligence

Ensuring responsible and transparent AI interactions

Global Deployment & Impact

"AI Fluency means collaborating with AI effectively, efficiently, ethically and safely. Just as Internet competencies did for the last 25 years, AI competencies will define digital literacy for this generation."
— Professor Joseph Feller

Research Evolution: From Open Source to AI Augmentation

1993-1999

Foundation Years

BA from American University, Washington DC | PhD from University College Cork | Early teaching at Ringling College of Art and Design

1999-2010

Open Source Pioneer

Published "Understanding Open Source Software Development" (2002) | CALIBRE EU FP6 Project | O3C Business Models research | Established foundations in peer production theory

2010-2020

Collective Intelligence Era

TOTO Project on Organizational Transparency | Founding President of SIGOPEN | Research on crowdsourcing, crowdfunding, open innovation

2020-Present

AI-Human Collaboration

AI Fluency Framework development | Anthropic partnership | Research on hybrid cognition and augmented creativity | Bank of Ireland Professor & Head of Department

Current Research Focus

AI-Human Collaboration

Developing frameworks and methodologies for effective partnership between humans and AI systems in creative and problem-solving tasks.

Hybrid Cognition

Understanding emerging forms of problem-solving that combine human intuition and creativity with machine intelligence.

Collective Intelligence

From pure human networks to AI-augmented systems, exploring how groups solve problems collectively.

Open Innovation, Peer Production & The Commons

Foundational Contributions

Major Projects

Technology-Enabled Organizational Transparency and Openness (TOTO)

2012-Present | Principal Investigator
Funded by Lewis Charitable Foundation (California), conducting research and providing thought-leadership on technology-enabled transparency and openness.

CALIBRE - EU FP6 Co-ordination Action

2004-2006 | Lead Researcher
Established European industry open source software research policy forum and fostered transfer of OSS best practices to European industry.

Open Code, Content and Commerce (O3C) Business Models

2007-2010 | Principal Investigator
Irish Research Council funded project investigating open production, innovation, and value creation strategies.

SIGOPEN Leadership

As Founding President of the Special Interest Group on Open Research and Practice (SIGOPEN) of the Association of Information Systems (2015-2016), Professor Feller established the premier academic forum for research on openness across domains including:

Open Source Software Open Innovation Open Science Open Education Open Data Open Hardware Open Design Commons Governance

Publications & Scholarly Impact

Key Publication Venues

Books & Monographs

Research Funding

European Commission (FP5/FP6) Irish Research Council Science Foundation Ireland Irish Higher Education Authority Lewis Foundation (USA) Industry Partners

Teaching, Mentorship & Industry Impact

Current Teaching

Academic Leadership

Collaborations & Networks

International Partners

Harvard Business School, Syracuse University, University of Gothenburg, Universidad Rey Juan Carlos, University of Nebraska

Industry Engagement

Anthropic, IBM, various Irish SMEs, government partners, non-profit organizations

Academic Networks

Association of Information Systems, SIGOPEN community, European IS research network

Editorial & Advisory Roles

Vision: The Future of Human-AI Collaboration

"We need to start thinking differently about AI, if we want to start thinking with AI. The students and professionals who thrive will be those who master these collaboration skills."
— Professor Joseph Feller

Professor Feller's work represents a unique synthesis of decades studying human collaboration through open source communities with cutting-edge research on AI-human partnership. His trajectory from understanding how distributed teams create Linux to developing frameworks for human-AI collaboration provides unparalleled insights into collective intelligence systems.

Key Contributions to the Field

As we enter an era where AI becomes a cognitive partner rather than just a tool, Professor Feller's research provides essential frameworks for understanding and optimizing these partnerships. His work on open innovation and peer production offers crucial insights into how human creativity can be augmented rather than replaced by machine intelligence.