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Clara Fargo
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AI in Research: Integrity & Ethics Course & Certification
Intermediate
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3 hours
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About
The AI in Research: Integrity & Ethics Course is designed to provide a comprehensive understanding of the responsible use of artificial intelligence in research environments. It focuses on the opportunities, limitations, and ethical considerations associated with AI tools, helping researchers use emerging technologies in ways that support transparency, accountability, and scholarly integrity.
This course covers key areas including AI-assisted research workflows, ethical decision-making, transparency in AI use, bias and fairness, data quality considerations, authorship implications, reproducibility challenges, privacy concerns, and governance frameworks. It also explores practical approaches to evaluating AI-generated outputs, maintaining human oversight, and ensuring that research remains credible, reliable, and ethically conducted. Upon completion, learners receive a certification demonstrating competency in the ethical and responsible use of AI in research.
Who Should Enrol?
- Researchers and Research Staff
- PhD Scholars and Postgraduate Students
- Academic Faculty and Research Supervisors
- Data Scientists and AI Practitioners
- Research Integrity and Ethics Professionals
- Clinical and Non-Clinical Research Professionals
- Research Administrators and Governance Teams
- Anyone interested in the responsible use of AI in research
What you will learn
Understand the role of artificial intelligence in research and explore how AI tools can support literature review, data analysis, content generation, and research workflows.
Gain knowledge of ethical principles related to AI use, including transparency, accountability, fairness, human oversight, and responsible decision-making.
Learn how to identify and address risks such as bias, inaccuracies, privacy concerns, hallucinated outputs, and overreliance on AI-generated content.
Develop practical skills for documenting AI use, evaluating AI-generated outputs, supporting reproducibility, and maintaining research integrity throughout the research lifecycle.
Course Syllabus
- What AI + generative AI are
- Where AI touches the lifecycle
- The benefits of AI in Research
- AI's limits
- An integrity lens on AI
- AI Is Not New — but Generative AI Changed Things
- AI as Assistant vs Decision-Maker
- Hallucination + fabricated references
- Plagiarism + AI
- Data integrity with AI
- Reproducibility with AI
- Over-reliance on AI
- Forms of AI Hallucination
- Synthetic Data Risks
- AI Risk by Task
- AI cannot be an author
- Disclosing AI use
- Journal, funder + institutional policies
- Confidentiality + personal data
- Verification is your job
- What to Disclose About AI Use
- Open Tools vs Approved Tools
- Acceptable vs Unacceptable Uses
- Training data matters
- Personal data + UK GDPR
- Recognising AI bias
- Fairness in AI research
- Transparency + explainability
- Sources of Bias in AI
- Copyright + Scraped Training Data
- Consent for AI Training Data
- Human accountability
- Institutional AI governance
- Ethics review of AI research
- Good-practice habits
- The responsible-AI checklist
- Roles in AI Governance
- Procuring AI Tools Safely
- Responsible AI in Practice
Course Benefits
CPD Points
Gain Continuing Professional Development (CPD) Points, accredited by The Faculty of Pharmaceutical Medicine of the Royal College of Physicians of the United Kingdom. These can be used to count towards the distance learning element of any scheme that comes under the umbrella of The Academy of Medical Royal Colleges or any other scheme for which there is mutual recognition.
Certification
Receive a personal certificate to show your subject knowledge on course completion.
Affordable
You get excellent value through our cost-effective prices. We can also offer you group discounts on larger purchases.
Flexibility
The course saves you time through the convenience of online availability. This lets you complete the interactive course at your own comfort.
Keep Up to Date
You will stay up to date with the fast-moving rules on AI in research — including publisher and funder AI policies, COPE and ICMJE guidance, and UK GDPR — as our courses are constantly monitored, reviewed and updated.
Learn from Industry Experts
The course has been developed by research integrity and responsible-AI specialists so that researchers in every discipline can use AI tools without compromising integrity or ethics.
Our Certified Customers
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