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ICKM 2024 - Call for Papers

Conference Theme: Navigating Inequities and Social Justice in the Age of Artificial Intelligence

In the rapidly evolving landscape of artificial intelligence (AI) and knowledge management, the intersection of technology and societal values is more pertinent than ever. As we navigate this age of AI, it is imperative to address the profound implications it has on equity, justice, and inclusivity. This Knowledge Management Conference seeks to bring together scholars, practitioners, and thought leaders to explore and discuss strategies, challenges, and opportunities in promoting social justice through knowledge management in the era of AI.

We invite scholars, researchers, practitioners, and policymakers to submit original research papers, case studies, workshops, and proposals for sessions related to the conference tracks. Submissions should be made through the conference website by May 15, 2024.

We look forward to your contributions in shaping a future where AI and knowledge management are powerful tools for advancing social justice and fostering equitable and inclusive societies.

List of Topics:

Ethics and Responsible AI:

• Exploring ethical considerations in AI and knowledge management.
• Strategies for responsible AI implementation to mitigate biases and inequities.

Inclusive Knowledge Practices:

• The role of knowledge management in fostering inclusivity.
• Addressing barriers to access and participation in knowledge-sharing processes.

Community Engagement and Co-Creation:

• Leveraging AI and knowledge management for community-driven initiatives.
• Collaborative approaches to co-create knowledge solutions that promote social justice.

AI for Social Impact:

• Case studies and best practices on using AI for addressing social inequalities.
• Examining the potential of AI in achieving the United Nations Sustainable Development Goals (SDGs).

Data Governance and Privacy:

• Ensuring equitable data governance practices in AI applications.
• Protecting individual privacy in the age of data-driven decision-making.

Educational Initiatives:

• Integrating AI and knowledge management in educational programs.
• Addressing the digital divide through knowledge-sharing platforms.