46 Items
Trade Article
By Charla Viera
Published April 4, 2023 by American Journal Experts
AI in Libraries
Libraries and librarians have always been responsible for organizing, providing access to, and protecting information, making them leaders in adapting to new technologies throughout history. Ongoing trends in generative AI highlights the potential for new tools that can enhance information organization, accessibility, user services, and library analytics. Generative AI has the potential to improve management systems and offers a new role foor libraries in promoting AI literacy among patrons. The future of AI in libraries involves creating 'Smart Libraries' and incorporating AI into library analytics for real-time data analysis. Library professionals are adapting to AI tools and software to enhance their roles as information guardians and community partners. The article also highlights the slow adoption of new technologies by libraries and the importance of AI literacy for patrons to engage with society's increasing use of AI tools.
Trade Article
Published January 11, 2021 by iris.ai
AI in Libraries
Artificial intelligence in libraries is revolutionizing the way information is accessed and managed. AI tools like indexing automation and content summarization are improving efficiency and accuracy in research. Librarians are embracing AI to enhance services and adapt to the changing information landscape. The focus is shifting towards advanced technologies to better serve the upcoming generations. The impact factor is evolving with AI algorithms validating research arguments for broader readership.
Academic Article
By Siguo Bi, Cong Wang, Jilong Zhang, Wutao Huang, Bochun Wu, Yi Gong, Wei Ni
Published April 13, 2022 by Sensors
AI in Libraries, Internet of Things
The rise of artificial intelligence and Internet-of-Things has led to the integration of smart devices in society, improving public services and management, including the emergence of Smart Libraries utilizing AI and IoT technologies for smart service, sustainability, and security, with a focus on future trends. This text discusses the rapid development of artificial intelligence and Internet-of-Things in smart libraries, highlighting improvements in service, sustainability, and security. It covers key technologies such as NLP, RFID, and BLE, as well as challenges and future directions. The integration of AI and IoT enhances operations, security, and sustainability in libraries, with applications in book finding, recommender systems, and security measures. Overall, AI-aided IoT plays a crucial role in making libraries smarter and more efficient.
Academic Article
By Asom Faga, Aliyu Olugbenga Yusuf
Published Summer 2023 by Library Philosophy and Practice (e-journal)
AI in Libraries, Risk/Benefit Analysis
Artificial Intelligence has become essential in improving efficiency and productivity in various sectors, including libraries. AI technologies such as Augmented Reality, Virtual Reality, and gesture recognition have transformed user experiences in libraries. Despite concerns about bias and privacy, AI offers significant benefits in library operations by enhancing efficiency, personalized services, and research recommendations.
Executive Order
By President Joseph Biden
Published October 30, 2023 by The White House
Policy
Human-readable version of the US Executive Order on the development and use of AI.
Academic Article
By Maria Nordström
Published September 7, 2021 by AI & Society
Policy
Decisions on public policy regarding the implementation of machine learning and AI for public use are being made under great uncertainty due to the vague definition of AI, uncertain outcomes of AI implementations, and pacing problems. This paper suggests that decision-makers adopt strategies from decision theory to mitigate this uncertainty. The argumentative approach is proposed to mitigate uncertainty challenges. The importance of acknowledging uncertainty in AI policy decisions is highlighted, with a focus on the need for cautious regulation. The paper also addresses the role of public policies in ensuring Trustworthy AI and the challenges faced by decision-makers in the context of AI development. Various types of uncertainty in AI policy are identified, emphasizing the need for proper governance mechanisms and iterative assessment.
Academic Article
By Subaveerapandiyan A
Published June 24, 2023 by Library Philosophy and Practice (e-journal)
AI in Libraries, AI in Libraries - Academic Libraries
The rapid advancements in Artificial Intelligence have transformed libraries by introducing AI chatbots, intelligent libraries, robots, and smart libraries. AI technologies in libraries can improve information retrieval, automate tasks, personalize user interactions, and provide innovative services. Intelligent libraries equipped with AI can streamline processes and enhance user experiences. Further research is needed to explore the long-term impact of AI on library operations. AI has the potential to make libraries more user-centered and accessible. This literature review discusses the implications of AI on libraries, challenges, and opportunities. Despite challenges, AI tools like ChatGPT can enhance library services. Various studies and conferences explore the integration of AI in library management and development.
Academic Article
By Francisco Bolanos, Angelo Salatino, Francesco Osborne, Enrico Motta
Published February 13, 2024 by arXiv
AI in Libraries
The existing generation of systematic literature review (SLR) tools, when used effectively, can be highly powerful, but they often fall short in terms of usability and user-friendliness, limiting their adoption within the broader research community. AI-enhanced SLR tools have the potential to revolutionize the research process, but there is a need for more robust evaluation frameworks and responsible use of these tools. This study proposes best practices for evaluating these tools and highlight the importance of human critical thinking and creativity in the research process.
Trade Article
By Felix M. Simon
Published February 6, 2024 by Columbia Journalism Review
AI in Journalism
News organizations have adopted AI due to technological advancements, market pressures, competitive dynamics, and the sense of uncertainty and hope surrounding AI. While AI has increased efficiency in some contexts, its potential gains are task- and context-dependent and can be curtailed by factors such as the unreliability of AI outputs and concerns about reputational damage. Reliance on technology companies for AI creates lock-in effects, limiting news organizations' autonomy and making them vulnerable to price hikes or the shifting priorities of technology companies. The lack of transparency in AI systems also raises concerns about biases or errors creeping into journalistic output.
Academic Article
By Mohammad Hossein Jarrahi, Christoph Lutz, Karen Boyd, Carsten Oesterlund, Matthew Willis
Published December 21, 2022 by Journal of the Association for Information Science and Technology
General Background, Academic Review, Editorial, Ethics
Artificial intelligence systems have unique characteristics that can impact work practices, with their logic often not transparent to humans. The transformative power of AI lies in descriptive and predictive models, big data utilization, and changes in work practices. The interdependence of AI models, data, and work practices has consequences for regulations and policies. Ethical questions and power dynamics arise in AI models related to medical work practices. The integration of AI may lead to new divisions of work between humans and intelligent systems. Future research on AI and work will need to involve transdisciplinary collaboration to study AI's impact on various industries and occupations. This collaboration should include computer scientists, social scientists, and ethical/legal scholars to provide a holistic perspective. Industry partnerships and multistakeholder collaborations should also be encouraged to ensure critical scrutiny of AI systems and avoid ethicswashing.Artificial intelligence systems have unique characteristics that can impact work practices, with their logic often not transparent to humans. The transformative power of AI lies in descriptive and predictive models, big data utilization, and changes in work practices. The interdependence of AI models, data, and work practices has consequences for regulations and policies. Ethical questions and power dynamics arise in AI models related to medical work practices. The integration of AI may lead to new divisions of work between humans and intelligent systems. Future research on AI and work will need to involve transdisciplinary collaboration to study AI's impact on various industries and occupations. This collaboration should include computer scientists, social scientists, and ethical/legal scholars to provide a holistic perspective. Industry partnerships and multistakeholder collaborations should also be encouraged to ensure critical scrutiny of AI systems and avoid ethicswashing.
