This seminar will cover:

• Key fundamentals of generative AI, including how models leverage statistical probabilities learned from training data to generate new outputs
• Key limitations of generative AI, such as hallucinations, biases, and ethics, establishing the importance of human oversight during its use
• Important editorial policies from most publishers about using generative AI, including authorship, AI-generated images, disclosure of AI use, and the use of AI during peer review
• Common use cases in responsibly using generative AI in academic writing to improve productivity

About the Speaker:

Dr. Jeffrey Robens is Head of Community Engagement at Nature Portfolio and is the Lead Trainer for the Expert Trainer-led Nature Masterclasses—training workshops to improve publication output worldwide. He has strong scientific qualifications with 20 years of academic experience and numerous publications and awards. He received his PhD from the University of Pennsylvania and then worked at premier research institutes in Singapore and Japan. Since leaving academia in 2012, he has conducted over 675 days of academic training workshops worldwide to help researchers improve their publication quality and impact.

Note: The talk will NOT be recorded. Slides will be shared after the event.