Artificial Intelligence in the Conduct of Research: Embracing its Promises and Avoiding the Pitfalls from the Lens of Research Practitioners

Aim: This study investigated the perceived advantages and risks of using Artificial Intelligence (AI) tools in research from the perspective of academic research practitioners in the Philippines, and examined the relationship between these perceptions.Methodology: A descriptive-correlational design was employed, using a structured survey administered to 125 research practitioners from basic and higher education institutions across Luzon, Visayas, and Mindanao, selected via stratified random sampling.The instrument included a validated AI Advantages Scale and AI Risks Scale.Data were analyzed using descriptive statistics, Pearson correlation, and regression analysis.Results: On a 5-point scale, participants reported high perceived advantages (M = 4.21, SD = 0.55) and moderate perceived risks (M = 3.12, SD = 0.67).A significant negative correlation (r = -0.42,p < .01)indicated that higher perceived risks were associated with lower endorsement of AI advantages.Conclusion: Findings reflect both optimism and caution among research practitioners regarding AI adoption.While AI is valued for streamlining research processes and enhancing analytical rigor, concerns about plagiarism, bias, and ethical misuse persist.The study recommends targeted capacity-building programs, clear institutional guidelines, and responsible AI literacy initiatives to maximize benefits while mitigating risks.