Research with Integrity: Navigating Responsible Research in an Evolving Environment

Research is built on discovery, innovation, and the pursuit of new knowledge. Underlying all of it, however, is something just as important: trust. Researchers must be able to trust the work of their collaborators. Funding agencies and journals must have confidence in the research they support and publish. And the public must be able to trust that research findings have been produced and communicated responsibly.

At the University of Memphis, Responsible Conduct of Research (RCR) provides an important foundation for maintaining that trust and promoting research integrity across the University.

RCR encompasses the ethical and professional responsibilities researchers encounter throughout the research process—from collecting and managing data to determining authorship, collaborating with colleagues, navigating conflicts of interest, and accurately communicating results.

And as the tools researchers use continue to evolve, so do the questions surrounding responsible research practices.

 

More Than a Requirement

Responsible Conduct of Research training is required for a broad range of individuals supported by National Science Foundation (NSF) funding. At the UofM, faculty, principal investigators, co-principal investigators, senior personnel, postdoctoral researchers, graduate students, and undergraduate students supported by an NSF grant—either directly or through a subaward—are required to complete RCR training.

The importance of RCR, however, extends well beyond satisfying a federal requirement.

Research today is increasingly collaborative, interdisciplinary, data-intensive, and technology-driven. A single project may involve multiple investigators and institutions, students, external partners, large datasets, and rapidly evolving technologies.

Through the Collaborative Institutional Training Initiative (CITI), researchers can explore topics including research misconduct, data management, authorship, mentorship and healthy research environments, collaborative research, conflicts of interest and commitment, financial responsibility, peer review, plagiarism, and ethical considerations involving human and animal research.

Together, these practices help create a research environment in which transparency, accountability and ethical decision-making are integrated into the research process.\

 

New Federal Guidance Addresses Generative AI in Research

One of the most rapidly evolving areas of research integrity involves generative artificial intelligence. AI is already contributing to scientific advances and creating powerful new opportunities for researchers. Generative AI tools can assist with tasks ranging from working with information and code to supporting aspects of analysis, writing, and scientific discovery.

Like other research tools, however, AI must be used responsibly.

On August 14, 2026, the U.S. Department of Health and Human Services' Office of Research Integrity (ORI) released new Guidance on Generative Artificial Intelligence to assist institutions navigating research misconduct proceedings involving the technology.

The guidance follows HHS's September 2024 update to the Public Health Service Policies on Research Misconduct, 42 CFR Part 93, which incorporated changes intended, in part, to address technological advances affecting the research environment.

In announcing the new guidance, ORI recognized both sides of the rapidly developing technology: generative AI has contributed to scientific breakthroughs and has the potential to contribute to many more, but it can also be misused—including in ways that could constitute research misconduct.

Importantly, the guidance does not suggest that the use of generative AI itself constitutes misconduct. Instead, it provides a framework for evaluating research practices and evidence when AI is involved.

ORI's guidance focuses on three key areas:

• Accepted research practices: Institutions should consider whether the research falls within accepted practices of the relevant research community, regardless of how generative AI was used.
• Evidence of misconduct: Research misconduct must be established by a preponderance of the evidence. ORI cautions against relying on AI-detection tools alone to establish that misconduct occurred.
• Transparency and disclosure: Researchers should appropriately disclose their use of generative AI to promote transparency about research methods, including in papers and grant applications.

For researchers, that final point is particularly significant. As AI becomes increasingly integrated into research workflows, being transparent about when and how it is used can help maintain confidence in both the research process and its results.

 

The Technology May Change. The Principles Remain.

The arrival of generative AI illustrates a broader reality of modern research: responsible conduct is not a static checklist. Research methods will continue to evolve. New technologies will emerge. Researchers will gain access to tools that can perform tasks that would have been difficult to imagine only a few years earlier.

But the fundamental principles underlying research integrity remain the same. Accuracy matters. Transparency matters. Proper attribution matters. Researchers remain responsible for the work they produce and communicate, regardless of the tools used to help produce it.

Federal regulations and University policy define research misconduct specifically as fabrication, falsification, or plagiarism in proposing, performing, or reviewing research or in reporting research results. Honest mistakes and differences of opinion are not, by themselves, research misconduct. That distinction is important as universities, funding agencies, publishers, and individual research communities continue developing norms surrounding appropriate uses of generative AI.

 

Building Good Practices Before Problems Arise

Research integrity is strengthened not only through policies and investigations, but through everyday decisions made throughout the research process.

Discussing authorship expectations early, maintaining complete research records, carefully monitoring data collection and reporting, following approved protocols, documenting methods, thoroughly reviewing publications, and communicating concerns when they arise can help protect researchers, their collaborators, and the integrity of the scholarly record.

The same proactive approach can be applied to AI. Researchers should understand the expectations of their disciplines, publishers, collaborators, and funding agencies; consider when disclosure of AI use is appropriate or required; protect confidential or sensitive research information; and carefully verify AI-generated material rather than assuming that an AI system's output is accurate.

Mentorship is another important component of creating a strong research culture. As students and early-career researchers encounter rapidly changing technologies, faculty and senior researchers have an increasingly important role in helping them understand not only what new tools can do, but how those tools can be used responsibly.

 

Supporting Responsible Discovery at UofM

As the University of Memphis continues to grow its research enterprise and embrace emerging technologies, maintaining a strong culture of research integrity is essential. Responsible research practices protect individual researchers and their collaborators, strengthen the reliability of the scholarly record, and help preserve the public trust that makes research possible. The UofM Office of Research Compliance provides resources and guidance to help faculty, staff and students understand their responsibilities and navigate an increasingly complex research environment.

Ultimately, responsible conduct of research is not about limiting innovation. It provides the foundation that allows researchers to pursue ambitious ideas, adopt powerful new technologies and push the boundaries of discovery while maintaining confidence in the work and its results. As generative AI demonstrates, the tools of research will continue to change. The commitment to conducting research responsibly must remain constant.

Learn more about Responsible Conduct of Research, RCR training requirements and research integrity resources through the University of Memphis Office of Research Compliance, or contact them at researchcompliance@memphis.edu.