Our findings reveal significant inconsistencies and limitations in AI detection tools, with many failing to accurately identify Copilotauthored text. Examining eight freely available online AI detection tools using text samples produced by Microsoft Copilot, we assess their accuracy and consistency. We feed a short sentence and a small paragraph and note the estimate of these tools. Our results suggest that educators should not rely on these tools to check for AI use.
Category: Preet Deep Singh, Ph.D.
Preet Deep Singh, Ph.D.
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GenAI and Religion: Creation, Agency, and Meaning
This paper explores the parallels between Generative Artificial Intelligence (GenAI) and religious systems in three domains: creation, agency, and meaning-making. Both offer frameworks for human engagement but differ in intent, autonomy, and moral accountability. Despite these differences, GenAI and religion share roles as creators, influencers, and meaning facilitators. We address and counter rebuttals to these parallels, highlighting GenAI’s co-constructed outputs and its impact on modern meaning-making. The paper concludes with the societal implications of these parallels in shaping future thought and action.
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Generative AI through the Lens of Institutional Theory
This study examines the adoption of Generative AI (GenAI) systems through the lens of Institutional Theory. Using a mixed-methods approach, we analyze how coercive, normative, and mimetic pressures influence GenAI integration in organizations. Key findings reveal:(1) regulatory frameworks significantly shape GenAI adoption strategies, with variations across industries and regions;(2) organizations balance conformity to institutional norms with innovation, often through strategic decoupling;(3) GenAI’s unique capabilities challenge traditional institutional pressures, necessitating new governance models; and (4) early GenAI adopters emerge as new sources of mimetic pressure, accelerating industry-wide adoption. We propose a novel framework capturing the interplay between GenAI characteristics and institutional dynamics, contributing to both Institutional Theory and AI adoption literature.
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How Issav Asimov Predicted/Influenced the Present AI Scenario
This paper investigates Isaac Asimov’s impact on modern artificial intelligence (AI) and robotics, focusing on how his visionary narratives and Three Laws of Robotics resonate with current technological practices and ethical debates. Analyzing specific predictions from Asimov’s works that have materialized in today’s AI applications, we draw parallels between his fictional insights and real-world technologies from leading tech firms. The study further considers the social implications of AI, including issues of human displacement and trust. We also discuss the progress and challenges in formulating global ethical standards for AI, reflecting on national and international efforts. The analysis highlights Asimov’s lasting influence and the ongoing importance of ethical deliberation in the AI field.