Book Chapters

Permanent URI for this collection https://rda.sliit.lk/handle/123456789/4200

The book chapters authored by SLIIT researchers are included in this collection. Access to full texts may be restricted depending on the access and licensing terms.

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Start date: 2020Subject: search.filters.subject.Artificial intelligence

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    The Impact of Artificial Intelligence on Modern Hiring
    (IGI Global, 2025-08-07) Rajapakshe, W
    This study explores the transformative impact of AI on talent acquisition, highlighting its evolution within HRM and redefining recruitment in the digital era. It examines AI's integration across key recruitment functions, including resume screening, chatbots, interview scheduling, and predictive analytics for candidate suitability. The research reviews core technologies such as Natural Language Processing (NLP), Machine Learning (ML), Robotic Process Automation (RPA), and facial recognition. While AI enhances efficiency, reduces bias, and supports data-driven decisions, it also introduces ethical and regulatory challenges related to fairness, privacy, and transparency. The study draws upon theoretical models like the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Diffusion of Innovation (DOI) to contextualize AI adoption. Finally, it presents a comparative analysis of global trends and Sri Lanka's local context, offering insights into the factors influencing AI adoption in recruitment and the future of digital HR practices.
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    AI and Inclusive Democracy: Transforming Governance for Equitable Societies
    (CRC Press, 2026) Harasgama, K. S.; Arora, V; Singh, M; Qureshi, T
    The interaction of artificial intelligence (AI) and democracy today is a confluence of opportunities for advancement around foundational values. The development of AI technologies, by leaps and bounds, holds the promise to enhance democratic processes by increasing efficiency in decision-making, streamlining governance, and stimulating civic engagement. Concerns are raised in issues of data privacy, algorithmic bias, and concentration of power in technology corporations, situations that call for very robust regulatory mechanisms if democratic values are to be upheld. The fact that AI can, therefore, lead to increased socioeconomic inequalities, manipulate public opinion, and threaten democratic institutions directly requires a proactive stance toward grappling with ethical, legal, and social implications. Governance of the various issues arising from the intersection of AI and democracy is a complex task that requires the cooperation of policymakers, technologists, ethicists, and representatives of civil society. They should strive to find the right balance between innovation and responsibility. Effective governance models need to ensure that AI systems retain and operate on the principles of fairness, transparency, and human rights. This paper discusses the challenges of AI and democracy considering electoral politics, cyber threats, psychographic profiling, and its regulation.