Social and Behavioral Sciences Commons^™

Using Big Data To Manage Social Inclusion Programs, Esther Raya Diez, Manuel Trujillo Carmona, Domingo Carbonero Muñoz

The Journal of Sociology & Social Welfare

Technological developments based on Artificial Intelligence (AI) and empirical science in all areas of society are opening new opportunities for social work and social inclusion programs. AI relies on Big Data management systems, which in turn provide opportunities for descriptive inference and preventative measures, as well as data-informed decision making.

This article outlines the characteristics of Big Data and describes the process of designing a tool for diagnosing social exclusion, the SiSo scale. The tool consists of a scale that uses 25 variables to assess situations of social difficulty on the inclusion-exclusion spectrum. It is currently being used in the …

Scientific, Legal, And Ethical Concerns About Ai-Based Personnel Selection Tools: A Call To Action, Nancy T. Tippins, Frederick L. Oswald, S. Morton Mcphail

Personnel Assessment and Decisions

Organizations are increasingly turning toward personnel selection tools that rely on artificial intelligence (AI) technologies and machine learning algorithms that, together, intend to predict the future success of employees better than traditional tools. These new forms of assessment include online games, video-based interviews, and big data pulled from many sources, including test responses, test-taking behavior, applications, resumes, and social media. Speedy processing, lower costs, convenient access, and applicant engagement are often and rightfully cited as the practical advantages for using these selection tools. At the same time, however, these tools raise serious concerns about their effectiveness in terms of their …

Biographical Data And Black Box Empiricism: Lessons Learned For Algorithmic Assessments In Personnel Selection, Ketaki Sodhi, Marc Cubrich

Psychology from the Margins

As the popularity of biodata in selection assessments grew in the 1980s and into the 1990s, the field of industrial and organizational psychology witnessed many attempts to develop biodata theories and guide the development of biodata items. The insights that emerged from this body of research are increasingly relevant in the current era of big data, artificial intelligence (AI), and machine learning. More than ever, AI and machine learning are being used to score candidates and make hiring recommendations. Many organizations are using data-driven approaches to develop machine learning and AI algorithms, which are frequently atheoretical, based on correlations or …

Remote Sensing And Artificial Intelligence In The Mine Action Sector, Martin Jebens, Rob White

The Journal of Conventional Weapons Destruction

Remote sensing and artificial intelligence (AI) technologies are included in discussions of how technology and innovation can improve humanitarian action and international peacekeeping. These technologies have the potential to improve the capacity to assess needs and to monitor changes on the ground and can be useful for both the mine action (MA) and broader humanitarian sectors. Even though remote sensing and AI are not the silver bullet in MA and come with several challenges (e.g., operational and data protection), the International Committee of the Red Cross (ICRC) and the Geneva International Centre for Humanitarian Demining (GICHD) believe that the integration …

Beyond Spatial Reasoning: Challenges For Ecological Problem Solving, Christian Freksa

Journal of Spatial Information Science

This vision piece reflects upon virtues of early computer science due to scarcity and high cost of computational resources. It critically assesses divergences between real-world problems and their computational counterparts in commonsense problem solving. The paper points out the different objectives of commonsense versus scientific approaches to problem solving. It describes how natural cognitive systems exploit space and time without explicitly representing their properties and why purely computational approaches are less efficient than their natural role models, as they depend on explicit representations. We argue for investigating spatio-temporally integrated methods to spatial problem solving. We contrast these methods to sequential …

Designing Human-Computer Conversational Systems Using Needs Hierarchy, Souvick Ghosh

School of Information Student Research Journal

No abstract provided.

Negotiating Agency And Control: Theorizing Human-Machine Communication From A Structurational Perspective, Jennifer L. Gibbs, Gavin L. Kirkwood, Chengyu Fang, J. Nan Wilkenfeld

Human-Machine Communication

Intelligent technologies have the potential to transform organizations and organizing processes. In particular, they are unique from prior organizational technologies in that they reposition technology as agent rather than a tool or object of use. Scholars studying human-machine communication (HMC) have begun to theorize the dual role played by human and machine agency, but they have focused primarily on the individual level. Drawing on Structuration Theory (Giddens, 1984), we propose a theoretical framework to explain agency in HMC as a process involving the negotiation of control between human and machine agents. This article contributes to HMC scholarship by offering a …

The Perceived Ethics Of Artificial Intelligence, Ross Murray

Markets, Globalization & Development Review

Artificial Intelligence (AI) is being used by millions of consumers in their daily lives. Although this technology is providing convenience, information, and instant gratification the underlying moral framework that AI uses remains largely unknown to the consumers of the technology. Two of the mostly widely used moral approaches (deontology and teleology), and their implications for AI, are discussed. The context of chatbots that use AI is examined, specifically exploring Amazon’s Alexa. The context illustrates the issue of the latent moral frameworks that AI technologies use when interacting with consumers or the environment. Although AI holds the promise of many potential …

Adoption Of Artificial Intelligence (Ai) In Local Governments: An Exploratory Study On The Attitudes And Perceptions Of Officials In A Municipal Government In The Philippines, Charmaine B. Distor, Odkhuu Khaltar, M. Jae Moon

Journal of Public Affairs and Development

Emerging technologies like artificial intelligence (AI) have been instrumental in transforming governments in recent years, which is why several agencies worldwide have integrated them into their governance strategies. One of the countries that have paid attention to the potential of AI is the Philippines, which launched its national AI roadmap in 2021. This study investigated the perceived acceptance and adoption of AI in the Municipality of Carmona located in the Province of Cavite. Following the combined constructs from the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT), perception data were gathered from among Carmona’s …