A chatbot is a software application designed to simulate human conversation. It interacts with users through messaging platforms, websites, or mobile apps, using pre-set scripts or artificial intelligence technologies to understand queries and provide responses. Chatbots are often used for customer service, information retrieval, or as virtual assistants.
The paper addresses concerns about the accuracy of AI-driven chatbots, focusing on large language models (LLMs) like ChatGPT, in providing clinical advice. The researchers propose the Chatbot Assessment Reporting Tool (CHART) as a collaborative effort to establish structured reporting standards, involving a diverse group of stakeholders, from statisticians to patient partners.
Researchers propose viewing large language models (LLMs) in conversational AI through the lens of roleplay and simulation. This metaphorical framework helps avoid anthropomorphic misattributions, enabling nuanced interpretations of LLM behavior and fostering responsible development within ethical constraints.
This article explores the challenges and approaches to imparting human values and ethical decision-making in AI systems, with a focus on large language models like ChatGPT. It discusses techniques such as supervised fine-tuning, auxiliary models, and reinforcement learning from human feedback to imbue AI systems with desired moral stances, emphasizing the need for interdisciplinary perspectives from fields like cognitive science to align AI with human ethics.
MarineGPT, a groundbreaking vision-language model designed specifically for the marine domain, has been developed to identify marine objects from visual inputs and provide comprehensive, scientific, and sensitive responses. This model leverages the Marine-5M dataset and offers improved marine vision and language alignment, contributing to increased public awareness of marine biodiversity while addressing some limitations.
Researchers explored the influence of stingy bots in improving human welfare within experimental sharing networks. They conducted online experiments involving artificial agents with varying allocation behaviors, finding that stingy bots, when strategically placed, could enhance collective welfare by enabling reciprocal exchanges between individuals.
Researchers introduced an interactive robot framework that leverages Large Language Models (LLMs) to excel in long-term task planning, adapting to new goals and tasks during execution. The system seamlessly integrates high-level planning and low-level execution using language, demonstrating robustness and adaptability across tasks.
This article discusses the electricity consumption of artificial intelligence (AI) technologies, focusing on the training and inference phases of AI models. With AI's rapid growth and increasing demand for AI chips, the study examines the potential impact of AI on global data center energy use and the need for a balanced approach to address environmental concerns while harnessing AI's potential.
This study delves into the ongoing debate about whether Generative Artificial Intelligence (GAI) chatbots can rival human creativity. The findings indicate that GAI chatbots can generate original ideas comparable to humans, emphasizing the potential for synergy between humans and AI in the creative process, with chatbots serving as valuable creative assistants.
A study comparing the creativity of AI chatbots and human participants in the Alternate Uses Task (AUT) reveals that chatbots consistently produce creative responses, often surpassing humans. However, the study underscores the unique complexity of human creativity, highlighting that while AI can excel, it still struggles to fully replicate or surpass the best human ideas.
Researchers explore how AI chatbots can improve supply chain sustainability in small and medium manufacturing enterprises (SMEs) in India. The research shows that chatbots enhance supply chain visibility and innovation capability, leading to improved sustainability performance, and offers practical recommendations for SMEs to leverage this technology for sustainable practices.
Researchers reveal that chatbots equipped with empathetic capabilities significantly impact tourists' satisfaction and their intention to visit a destination. Empathy emerged as the most crucial attribute, surpassing informativeness and interactivity, highlighting the importance of emotionally resonant interactions in the tourism sector.
This study delves into the accuracy of bibliographic citations generated by AI models like GPT-3.5 and GPT-4. While GPT-4 demonstrates improvements over its predecessor with fewer fabricated citations and errors, challenges in citation accuracy and formatting persist, highlighting the complexity of AI-generated citations and the need for further enhancements.
This research delves into the adoption of Artificial Intelligence (AI) in academic libraries, comparing the approaches of top universities in the United Kingdom (UK) and China. The study highlights that while Chinese universities emphasize AI in their strategies, British universities exhibit caution, with a limited focus on AI applications in libraries, and underscores the need for careful consideration of AI's role in higher education libraries, taking into account factors such as funding, value, and ethics.
Researchers discuss how artificial intelligence (AI) is reshaping higher education. The integration of AI in universities, known as smart universities, enhances efficiency, personalization, and student experiences. However, challenges such as job displacement and ethical considerations require careful consideration as AI's transformative potential in education unfolds.
Research explores the effectiveness of using a conversational agent to teach children the socioemotional strategy of "self-talk." Results show that children were able to learn and apply self-talk in their daily lives, offering insights for designing multi-user conversational interfaces.
A comparative analysis was conducted to evaluate user behavior and performance when using ChatGPT and Google Search for information-seeking tasks. The study found that ChatGPT users exhibited reduced task completion time compared to Google Search users, without significant differences in overall task performance. While ChatGPT offered a more user-friendly and spontaneous experience, Google Search provided quicker responses and more reliable outcomes.
A systematic review and meta-analysis of 19 trials exploring chatbot interventions for physical activity, diet, and sleep found positive effects on these health behaviors. The analysis revealed that text-based and artificial intelligent (AI) chatbots were effective for promoting diet improvements, while multicomponent interventions showed promise in enhancing sleep.
This article provides a comprehensive overview of the evolution of AI advertising research by analyzing literature from 1990 to 2022. It identifies key research areas, trends, and challenges in AI advertising and suggests future directions for integrating AI with marketing functions and improving ad effectiveness.
Study examines the implementation of ChatGPT, an AI chatbot, in sport management education. The findings suggest that ChatGPT can generate comprehensive and accurate responses to sport management inquiries, highlighting its potential to enhance teaching and learning in the field.
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