Concept Note
The theme of the conference is “From Access to Action: Rethinking Information Practices in an AI-driven Society”.
The rapid proliferation of Artificial Intelligence (AI) is fundamentally reshaping how we create, disseminate, access, and utilize information. While the digital age has focused significantly on access to information, the rise of AI necessitates a critical shift in our focus towards action. This conference, “From Access to Action: Rethinking Information Practices in an AI-Driven Society,” aims to explore the evolving landscape of information and knowledge management, moving beyond mere access to consider how AI influences our ability to understand, interpret, and ultimately act upon information effectively and ethically. The conference will delve into critical questions surrounding the changing nature of information, particularly the impact of AI-generated content and algorithmic curation on veracity and trust. It will also examine the new information literacy skills required to navigate an AI-saturated environment, emphasizing critical evaluation and understanding algorithmic bias. Ethical considerations and responsible AI practices will be central, addressing fairness, transparency, and the potential for manipulation. Furthermore, the conference will explore how to harness AI as a tool for generating actionable insights from data, transforming raw information into valuable knowledge for decision-making. The evolving roles and responsibilities of information professionals in this new landscape will be discussed, alongside the necessary policy and governance frameworks to ensure a responsible and equitable information ecosystem. Ultimately, this conference seeks to foster collaboration among diverse stakeholders to envision the future of information practices, empowering individuals and societies to move beyond mere access and leverage information effectively and ethically in an increasingly AI-driven world. The sub-themes of the conference, but not limited to, are mentioned as following:
- AI-based tools and technologies for information and knowledge management
- AI-driven knowledge discovery and retrieval
- Generative AI and information production
- AI in user behavior analysis and knowledge personalization
- Information Literacy
- AI literacy
- Digital literacy
- Critical evaluation of machine-generated content
- Combating misinformation in the era of AI
- Deepfakes and challenges
- Financial literacy
- Readiness of information professionals for human-machine collaboration
- Changing role of information professionals
- Competencies to survive in the AI era
- Leadership and advocacy
- Multidisciplinary collaboration and advocacy
- Professional development strategies
- Machine learning, Natural language processing
- Big Data
- IoT Applications
- Ontologies
- Open science
- AI and robotics
- Research regarding technology adoption
- Challenges in implementing modern tools and technologies
- Innovation and Sustainability of information institutions
- Social media and access to information
- Automation tools for archiving and digital preservation
- AI-based reference services
- Integration of AI in library automation and service delivery
- IoT-enabled library infrastructure and smart resource tracking
- Virtual assistants and chatbots in user services
- AI-driven content recommendations and user profiling
- Predictive analytics for anticipating information needs
- Challenges designing future innovative services
- Ensuring transparency and accountability in AI use
- Regulatory frameworks for data use
- Protecting user privacy and digital rights
- Ethical considerations in using AI
- Institutional policies for responsible AI adoption
- Sustainable AI development
- Energy consumption and carbon footprint of AI models
- AI in climate monitoring and environmental protection
- AI and digital divide
- National AI strategies and global regulatory trends
- Public-private partnerships in AI development
- Green AI