Implicaciones Éticas Del Uso De La Inteligencia Artificial en La Investigación Científica

The ethical implications of artificial intelligence (AI) in research address critical issues of accountability, bias, and privacy. As AI becomes integrated into research, it demands establishing ethical frameworks that ensure its responsible use and enhance research integrity. AI enables processing large volumes of data, identifying patterns and making predictions, but raises concerns about privacy and consent. The thesis of the study is: the integration of AI in research requires a robust ethical framework to mitigate risks and promote responsible use. The aim of the study is: to analyze the ethical implications linked to the use of AI in research, addressing aspects of transparency, accountability and privacy in the handling of information. It uses an exploratory methodology, based on the review and analysis of literature and articles published in indexed journals in the field of AI ethics in research. The study offers a comprehensive approach on how ethics should guide the development and use of AI in the research context, managing transparency and explainability, data privacy as a challenge of protection against risks. Researcher autonomy and the social implications of AI as complex issues that require clear ethical frameworks, and accountability in the use of AI, crucial to mitigate risks and ensure research integrity, demanding ethical guidelines and rigorous review mechanisms.