Conference Topics

1. AI for Human-Centered Innovation

• Designing AI systems that prioritize human needs, emotions, and well-being.
• Human-AI collaboration in creative and problem-solving contexts.
• Examining the psychological and societal impacts of AI on individuals and communities.

2. AI in Humanities and Social Science Research

• AI-driven methods for historical, literary, and cultural analysis.
• Machine learning in social science research: trends, behaviors, and societal shifts.
• The role of AI in automating research, archiving, and knowledge discovery.

3. AI and Cultural Diversity

• Preserving languages, traditions, and cultural heritage through AI.
• Addressing bias in AI to promote inclusivity and equitable representation.
• AI's potential in intercultural communication, translation, and digital storytelling.

4. Ethics, Governance, and Responsible AI

• Balancing AI innovation with ethical principles and human rights.
• Addressing privacy, surveillance, and data governance in AI applications.
• Ensuring accountability, transparency, and fairness in AI decision-making.

5. AI for Social Good and Global Challenges

• AI-driven solutions for climate change, poverty, healthcare, and inequality.
• AI’s role in humanitarian efforts, crisis response, and disaster management.
• Case studies on AI’s impact on achieving sustainable development goals (SDGs).

6. Interdisciplinary Studies in AI and Humanity

• AI and the Arts: Creativity, Expression, and Ethics
• Interdisciplinary approaches to AI: Exploring intersections with arts, sociology, and social sciences.
• The impact of AI on social structures, human behavior, and community dynamics.

7. Human Values in the Age of AI

• AI’s impact on identity, relationships, and community.
• Philosophical implications of AI on the human condition.
• Redefining labor, creativity, and self-expression through AI.

8. AI Literacy and Public Engagement

• Teaching AI literacy: empowering educators, researchers, and the public.
• AI in journalism and media: combating misinformation and enhancing fact-checking.
• Public perceptions of AI: trust, misinformation, and ethical concerns.

9. AI in Education and Pedagogy

• AI-driven educational technologies for inclusive and personalized learning.
• The role of virtual and augmented reality in education.
• AI for assessment, feedback, and enhancing student experiences.

10. AI in Information Systems and Technology

• AI and big data analytics for strategic decision-making.
• Cybersecurity challenges and innovations in the AI era.
• AI-driven optimization of organizational and institutional processes.

11. AI for Social Justice and Equity

•  Algorithmic bias and AI’s impact on marginalized communities.
• Strategies for ensuring AI fairness, inclusivity, and social equity.
• AI and digital rights: Ensuring access, representation, and protection.