My First ASIS&T Annual Meeting: A Meaningful Introduction to Scholarly Community and Growth – Mildred Adwubi Bonsu
This is part 1 of the blog series where we share reflections from our 2025 NEASIS&T Conference Support Award recipients, offering a glimpse into the value and impact of the 2025 ASIS&T Annual Meeting. Through their experiences, we aim to highlight the learning, networking, and growth that make this event so impactful.
Attending the ASIS&T Annual Meeting for the first time was a significant moment in my PhD journey. I was eager to learn from scholars who study the complex relationships among information, technology, and society. The NEASIS&T Conference Support Award made my participation possible, and I am sincerely grateful for the opportunity.
The theme for the 2025 meeting was “Difficult Conversations: The Role of Information Science in the Age of Human Centered Artificial Intelligence.” This theme was visible throughout the program. The opening keynote by Professor John Symons offered a thoughtful exploration of artificially intelligent agents, domain specificity, and inquiry. His reflections on how AI systems shape knowledge production and decision making encouraged me to think more carefully about the kinds of questions information scientists should be asking. It was an insightful start to the conference and created a strong intellectual foundation for the sessions that followed.
I attended several symposia and workshops that deepened my understanding of the field. The symposium on Information Behavior Research and Practice in the Age of Human Centered Artificial Intelligence provided a rich discussion on how people interact with AI systems in everyday contexts. The session on Interdisciplinary Approaches to Responsible and Ethical AI, sponsored by SIG AI, was very relevant to my work. It examined challenges related to accountability, transparency, and responsible design. These are issues that align closely with my research focus on cybersecurity and regulatory compliance in critical infrastructure. Hearing scholars speak from technical, social, and organizational viewpoints helped me understand how interdisciplinary conversations are shaping current thinking about AI. I also attended workshops that explored the practical dimensions of emerging technologies. Sessions such as ChatGPT, Help Me Teach This Course and Knowledge Organization Meets Artificial Intelligence in Theory and Practice offered insightful examples of how AI tools are influencing teaching, knowledge representation, and information access. These discussions helped me see how research, teaching practice, and technology design intersect, and they encouraged me to think more broadly about the long-term implications of AI across different settings.
In addition to these sessions, I attended the panel on Responsible AI: Fostering Ethical and Inclusive Information Ecosystems. The panelists discussed how inclusive and equitable approaches to AI can support safer and more trustworthy information environments. I also joined the panel on The Future of Academic Writing in the Age of Generative AI, which explored how AI tools are reshaping scholarly practices and expectations. Both panels helped me think more broadly about the ethical and practical questions surrounding AI adoption in academic and professional settings.