AI - Information Matters

The study aims to comprehensively explore the impact of artificial intelligence (AI) on information retrieval systems, analysing the evolution, challenges, and future directions. It explores the role of AI in enhancing search relevance, user experience, and ethical considerations in information retrieval contexts. The findings highlight AI’s transformative capabilities in enhancing relevance, personalisation, and semantic understanding within information retrieval systems. Ethical considerations, such as bias mitigation and data privacy, are also addressed.

Featured Translation

April 25, 2024 Michael Ridley

The Explainability Imperative

If artificial intelligence is so smart, why can’t it explain itself? This somewhat flippant question has preoccupied AI developers and researchers from the earliest days. Over 50 years later, the question is still relevant and increasingly urgent. When generative AI can hallucinate with impunity, there is a problem. Explainability is part of the answer.

Editorial

March 18, 2024 Chirag Shah

Killer Robot Obsession as a Self-reflection

Killer robots. Dystopian AI. Machine uprisings. Why are we utterly fascinated with the idea of our gadgets turning against us? Here I unravel our obsession with the rise of the machines and show that a big part of the appeal is really the projection of our own fears and dilemmas.

InfoFire Multimedia Uncategorized

March 14, 2024 Shalini Urs

AI and India’s IT Odyssey—From Humble Beginnings to Global Dominance: A Fireside Chat with NR Narayana Murthy

Given AI’s dominance and growth potential, there is naturally enormous interest in decoding how AI will impact and shape India’s growth trajectory. To understand the landscape of artificial intelligence (AI) and the Information Technology (IT) industry in India, few voices resonate as profoundly as that of NR Narayana Murthy, the legendary co-founder of Infosys and a pioneering figure in India’s technological journey. With a career spanning decades, Narayana Murthy’s (NRN) insights have not only shaped the trajectory of Indian IT but have also influenced global perceptions of the industry.

Education Translation

March 4, 2024 Jingtian Jia

Teaching Individuals with Intellectual Disabilities in China: Strategies and Challenges

Individuals with intellectual disabilities require long-term education in specialized schools or institutions due to their unique learning needs and behavioral habits. Teachers with specialized training are essential in their education process. Based on volunteer experience at non-governmental organizations (NGOs) serving individuals with intellectual disabilities, we summarize common teaching strategies employed by teachers and challenges encountered in teaching to present the landscape of special education in China and to enlighten future LIS research.

Editorial Featured

January 24, 2024 Chirag Shah

What Does It Mean To Be Intelligent?

In the last two decades, AI has advanced leaps and bounds to the point where we are seriously having conversations about ‘it’ being ‘intelligent’ as humans or even surpassing humans. But before we get too wrapped up in that excitement or fear, it’s important that we look inwards and ask — what makes us intelligent, conscious, and human?

Gemini is multimodal

Gemini is a new and powerful artificial intelligence model from Google that can understand not only text, but also images, videos and sounds. As a multimodal model, Gemini is capable of performing complex tasks in mathematics, physics, and other fields, as well as understanding and generating high-quality code in various programming languages.

InfoFire Multimedia

December 28, 2023 Shalini Urs

AI for Science: A Fireside Chat with Tony Hey, eScience Pioneer

In this InfoFire episode, I am in conversation with eScience pioneer Tony Hey on the topic of “AI for Science.” Our fireside chat commences with the profound words of Richard Feynman, who had a significant influence on Tony Hey, and centers around the two books— Feynman Lectures on Computation: Anniversary Edition and Artificial Intelligence for Science: A Deep Learning Revolution, edited/coedited by Tony Heyand, published in 2023.

Editorial Featured

December 11, 2023 Chirag Shah

Trust, But Verify: Can We Make LLMs Trustworthy?

Large language models (LLMs) are starting to get integrated in many of our daily information access activities. But they often hallucinate and provide information that can be harmful. We can’t and shouldn’t trust them blindly, but what choice we have if they become our primary method of accessing information? We want to leverage the enormous potential LLMs have, but we also want them to be trustworthy. How do we do this? I offer three specific suggestions.

Editorial

October 25, 2023 Chirag Shah

AI and the Future of Information Access

AI offers tremendous benefits for deepening and widening access to information. But there are also many problem and challenges. The future of AI-driven information access is not set yet, but it’s constantly being shaped through our discourse, policies, and actions. What will we choose and do? Is it possible to leverage AI’s potentials while minimizing risks and harms? I propose three ethos to make that happen.