Sensemaking Practices in the Everyday Work of AI/ML Software Engineering

This paper considers sensemaking as it relates to everyday software engineering (SE) work practices and draws on a multi-year ethnographic study of SE projects at a large, global technology company building digital services infused with artificial intelligence (AI) and machine learning (ML) capabilities. Our findings highlight the breadth of sensemaking practices in AI/ML projects, noting developers' efforts to make sense of AI/ML environments (e.g., algorithms/methods and libraries), of AI/ML model ecosystems (e.g., pre-trained models and "upstream"models), and of business-AI relations (e.g., how the AI/ML service relates to the domain context and business problem at hand). This paper builds on recent scholarship drawing attention to the integral role of sensemaking in everyday SE practices by empirically investigating how and in what ways AI/ML projects present software teams with emergent sensemaking requirements and opportunities

Conscientiously Creating Content: AI-Powered Social Media Strategies for Promoting Digital Collections

As cultural institutions continue to digitize their collections and make them available online, social media platforms offer a promising method for promoting and providing access to these digital archives. By incorporating Artificial Intelligence (AI), it is possible to create engaging and accessible content that can reach a wider, measurable audience. However, concerns about bias, inaccurate information and ethical considerations abound and must be considered. In this presentation, we will explore the evolution of practices in incorporating AI into digital archive work at the Digital Collections Center at Florida International University Libraries to extend into social media content. We will examine the potential of social media platforms for promoting and providing access to partner collections in the digital repository. We will also address the ethical considerations of using AI in creating social media content and discuss the question of whether this is a worthwhile endeavor. Attendees will gain a deeper understanding of the potential of AI-generated social media content (using platforms such as ChatGPT) as a means of access to digital archives, as well as practical insights into the considerations that should be taken into account. By showcasing the successes and challenges of using AI in social media content creation and promotion, we hope to inspire discussion and critical thinking about the role of social media and AI in promoting access to digitized collection materials

A Skeptic’s Guide to Using AI-Driven Content to Promote Access to Digital Archives on Social Media

Presentation for the Society of Florida Archivist\u27s 2023 Annual MeetingAs cultural institutions continue to digitize their collections and make them available online, social media platforms offer a promising method for promoting and providing access to these digital archives. By incorporating Artificial Intelligence (AI), it is possible to create engaging and accessible content that can reach a wider, measurable audience. However, concerns about bias, inaccurate information and ethical considerations abound and must be considered. In this presentation, we will explore the evolution of practices in incorporating AI into digital archive work at the Digital Collections Center at Florida International University Libraries to extend into social media content. We will examine the potential of social media platforms for promoting and providing access to partner collections in the digital repository. We will also address the ethical considerations of using AI in creating social media content and discuss the question of whether this is a worthwhile endeavor. Attendees will gain a deeper understanding of the potential of AI-generated social media content (using platforms such as ChatGPT) as a means of access to digital archives, as well as practical insights into the considerations that should be taken into account. By showcasing the successes and challenges of using AI in social media content creation and promotion, we hope to inspire discussion and critical thinking about the role of social media and AI in promoting access to digitized collection materials

New Role of Leadership in AI Era: Educational Sector

Background: Educators are required to adapt and adopt digital technologies, methodologies, and mindsets as Higher Education sector becomes more competitive. Digital transformation is essential to be successful in new digital world. AI is the main component in the digital world specially in Digital transformation. Artificial Intelligence yields tremendous opportunities not only in teaching & learning but also in leadership. Leaders in Educational sectors are expected to be more prepared, adaptable, updated and aligned with the new technologies. This article attempts to analyse how the Role of Leadership is going to change with the inclusion of Artificial Intelligence. Aim: The main aim of this research article is to answer the following key questions. How is the Role of Leadership going to change with use of AI? What will be new set of competencies required by leaders in coming future? Does AI replace the Human role in leadership? Research Methodology: External Desk Research methodology is used here as the data is based on the material published in reports and similar documents that are available in public libraries, websites, data obtained from surveys already carried out, etc. Findings: Artificial Intelligence (AI) have changed the role of leadership in the aspect of IQ and EQ. The use of robust data analytics grounded in AI and machine learning techniques reveal new insights for educational applications. Hence the leaders of digital era in Educational Sectors should have Hard skills like cloud computing and Data flow to manage new technologies and soft skills to manage team as a package to lead the Higher Education to the top level

Development of Computer Science Disciplines - A Social Network Analysis Approach

In contrast to many other scientific disciplines, computer science considers conference publications. Conferences have the advantage of providing fast publication of papers and of bringing researchers together to present and discuss the paper with peers. Previous work on knowledge mapping focused on the map of all sciences or a particular domain based on ISI published JCR (Journal Citation Report). Although this data covers most of important journals, it lacks computer science conference and workshop proceedings. That results in an imprecise and incomplete analysis of the computer science knowledge. This paper presents an analysis on the computer science knowledge network constructed from all types of publications, aiming at providing a complete view of computer science research. Based on the combination of two important digital libraries (DBLP and CiteSeerX), we study the knowledge network created at journal/conference level using citation linkage, to identify the development of sub-disciplines. We investigate the collaborative and citation behavior of journals/conferences by analyzing the properties of their co-authorship and citation subgraphs. The paper draws several important conclusions. First, conferences constitute social structures that shape the computer science knowledge. Second, computer science is becoming more interdisciplinary. Third, experts are the key success factor for sustainability of journals/conferences

Usage Bibliometrics

Scholarly usage data provides unique opportunities to address the known shortcomings of citation analysis. However, the collection, processing and analysis of usage data remains an area of active research. This article provides a review of the state-of-the-art in usage-based informetric, i.e. the use of usage data to study the scholarly process.Comment: Publisher's PDF (by permission). Publisher web site: books.infotoday.com/asist/arist44.shtm

How Digital Cultural Heritage Resources can Lead to New Understandings in the Humanities: Future Challenges for Digital Libraries and Archives (Invited Paper)

This paper reports on the presentation made during the panel on "Digital Libraries and Digital Archives: Problems and Challenges for AI Approaches" of the 1st Workshop on Intelligent Techniques At LIbraries and Archives (ITALIA 2015) co-located with the XIV Conference of the Italian Association for Artificial Intelligence, 22 September 2015, Ferrara, Italy

Integrating mobile robotics and vision with undergraduate computer science

This paper describes the integration of robotics education into an undergraduate Computer Science curriculum. The proposed approach delivers mobile robotics as well as covering the closely related field of Computer Vision, and is directly linked to the research conducted at the authors’ institution. The paper describes the most relevant details of the module content and assessment strategy, paying particular attention to the practical sessions using Rovio mobile robots. The specific choices are discussed that were made with regard to the mobile platform, software libraries and lab environment. The paper also presents a detailed qualitative and quantitative analysis of student results, including the correlation between student engagement and performance, and discusses the outcomes of this experience

Information Outlook, September 2002

Volume 6, Issue 9https://scholarworks.sjsu.edu/sla_io_2002/1008/thumbnail.jp