Proliferation of AI Tools: A Multifaceted Evaluation of User Perceptions and Emerging Trend

Abstract

The rapid advancement of artificial intelligence (AI) technologies, epitomized by tools like ChatGPT, Claude, Bard, Copilot, and Copy AI, has significantly reshaped various professional landscapes. This study aimed to assess the impact of these AI tools on professional performance, job dynamics, and societal perceptions. Amidst their benefits in enhancing efficiency and introducing novel capabilities, these tools also pose challenges concerning job displacement, ethical implications, and societal balance. Data from 1623 professionals across diverse industries were analyzed to assess AI tool utilization, functionality, user satisfaction, and perceived impacts. The results indicate that AI tools substantially enhance professional efficiency and are vital in diverse tasks including data analysis and decision-making. However, they also significantly affect traditional job roles, underscoring the urgency for workforce adaptation and skill development. Notably, the study unveils a generational gap in AI adoption, with younger users showing higher engagement compared to older cohorts, suggesting a digital divide. The study’s novelty lies in its comprehensive analysis of AI tool impacts across multiple professions, highlighting ethical and societal challenges. Concerns about AI-induced job displacement, privacy, and ethical use were evident, calling for responsible AI integration. The study advocate for targeted reskilling programs to equip the workforce for an AI-driven future and ethical guidelines to ensure AI tools' responsible development and use. This research contributes to the understanding of AI’s role in modern professional settings and offers strategic insights for policymakers, educators, and industry leaders. Emphasizing a balanced approach, the study urges for AI deployment that maximizes benefits while addressing potential risks and societal concerns.

A Comprehensive Evaluation of AI-Assisted Diagnostic Tools in ENT Medicine: Insights and Perspectives from Healthcare Professionals

“…The evaluation of overall satisfaction and the future outlook towards AI in ENT practice revealed a generally positive sentiment among respondents, indicative of the growing acceptance and optimism towards AI integration in the field. A substantial proportion of respondents expressed satisfaction with AI tools, particularly those with moderate to extensive experience in ENT practice [41]. These findings are consistent with previous research by Ahmad et al [42] and Nasseef et al [43], which demonstrated high levels of satisfaction among healthcare professionals with the use of AI in medical decision-making and patient care [42,43].…”

Effect of Adopting AI to Explore Big Data on Personally Identifiable Information (PII) for Financial and Economic Data Transformation

“…In addition, the positive relationship between the implementation of AI-driven strategies for regulatory compliance (coefficient 1.5) and higher levels of compliance underlines the strategic role AI plays in this context. This finding is in line with the broader discussions on the necessity of evolving AI technologies to meet the ever-changing regulatory requirements [28,29]. The integration of AI-driven strategies appears to be a crucial factor in not only meeting but also in staying ahead of regulatory curves.…”

“…This approach involves processing the minimum amount of data necessary, ensuring a clear processing purpose, being transparent with users, and conducting thorough data protection risk assessments. These steps are crucial in using AI without violating data protection laws [28,29]. Moreso, there are concerns about the broader impacts of these regulations.…”

From Theory to Practice: Implementing Effective Role-Based Access Control Strategies to Mitigate Insider Risks in Diverse Organizational Contexts

“…Although conventional strategies in combating insider threats emphasize the importance of robust access controls, continuous monitoring of user activities, and cultivating a security-aware organizational culture, recent trends and incidents underscore the need for a more nuanced approach [13] [14]. There is an emerging consensus on the importance of behavioral analytics and machine learning techniques in identifying anomalous behavior that may indicate an insider threat, as these technologies complement traditional security measures by providing deeper insights into user behavior, thereby enabling more proactive threat detection and response [15] [16]. Moreover, the role of organizational factors in mitigating insider threats has gained recognition, with factors such as employee satisfaction, transparent communication, and ethical leadership being identified as critical in reducing the likelihood of insider threats [17].…”