Chats

Wiley

Chats cuts through the noise to deliver discussions that actually matter. Each episode brings together industry leaders, researchers, and innovators to tackle the real challenges shaping our future—from choosing the right AI tools and navigating risks to unlocking genuine potential. It's energetic, unfiltered conversation with purpose, designed to equip you with the insights and confidence you need to shape the future rather than be shaped by it. Ready to join the chat? New episodes drop regularly on YouTube, Spotify, and Apple Podcasts. Retry

Episodes

  1. Integrating AI into research: Practical insights with Avi Staiman ​| Chats Ep 2

    10/23/2025

    Integrating AI into research: Practical insights with Avi Staiman ​| Chats Ep 2

    How do you know if you're using #ai responsibly in your research? When should you disclose AI use and why is transparency around AI often taboo? Join Sara Falcon, Director of UX Strategy,  @johnwileysons   and Avi Staiman, CEO,  @Aclang Academic Language Experts, for an eye-opening conversation about the practical realities researchers face when integrating AI into their work.   Discover the 2025 ExplanAItions study: https://www.wiley.com/en-us/about-us/ai-resources/ai-study/ Learn about our partnership with Perplexity: https://www.wiley.com/en-us/solutions-partnerships/academic-institutions/instructors-administrators/perplexity/ See our AI guidelines for book authors: https://www.wiley.com/en-us/publish/book/resources/ai-guidelines/ In this episode, discover: A practical risk-assessment framework for evaluating AI use in research Why transparency about AI use remains taboo—and how to change that culture The critical difference between LLMs and RAG tools (and when to use each) How to write prompts that actually work—think "brilliant student who skipped K-12" The hidden danger of relying on AI summaries for literature reviews How early career researchers can develop AI literacy without losing core skills   Perfect for: Researchers navigating AI adoption Publishers developing AI guidelines R&D teams evaluating AI tools Academic institutions shaping AI policy Anyone working at the intersection of AI and scientific integrity

    13 min
  2. AI in Academic Publishing: Expert Insights with Ian Mulvany | Chats Ep 1

    09/16/2025

    AI in Academic Publishing: Expert Insights with Ian Mulvany | Chats Ep 1

    Chats, a new series from ‪@johnwileysons‬ explores the practical challenges and opportunities facing academic publishing and research. Episode One | The AI Choice: Why Waiting Isn't an Option Choosing, Training and Using AI Models: Expert Interview with BMJ's CTO, Ian Mulvany and  Ray Abruzzi (Senior Director of AI Product Management at Wiley).  They explore the intersection of #ai development and academic publishing, offering insights for developers building research tools, publishers evaluating AI partnerships, researchers adopting new technologies, and institutions making strategic AI investments. They discuss the importance of subject matter expert integration in AI development, fine-tuning strategies, prompt engineering, considerations for publisher-developer partnerships, model performance risk assessment, misconceptions around hallucinations and best practices, and more. 👉 Learn more about Wiley’s content licensing opportunities for AI developers: https://bit.ly/46k8HfW Key Topics Covered: Fine-tuning AI models, prompt engineering, and deployment strategies Evaluating AI tools and building transparent publisher-developer partnerships Practical tips for researchers on choosing and using #aitools  effectively Addressing misconceptions about #aihallucinations and model limitations For AI developers:  Statistical inference vs. retrieval: why LLMs aren't search engines Fine-tuning strategies, ensemble methods, and context window optimization Prompt engineering insights: why language mastery outperforms technical precision  Production deployment lessons from high-stakes environments  For publishers & institutions:  Considerations for AI tool evaluation and selection. Building partnerships with AI companies and requesting transparency  The publisher's role in AI's "truth infrastructure" and moral obligations Investment priorities: where untapped AI potential lies  For researchers:  Practical guidance on choosing reliable AI tools for academic work Understanding AI limitations: when to trust outputs and when to verify Prompt engineering techniques for better research outcomes Avoiding the "search engine misconception" that leads researchers astray Risk assessment for different use cases

    29 min

About

Chats cuts through the noise to deliver discussions that actually matter. Each episode brings together industry leaders, researchers, and innovators to tackle the real challenges shaping our future—from choosing the right AI tools and navigating risks to unlocking genuine potential. It's energetic, unfiltered conversation with purpose, designed to equip you with the insights and confidence you need to shape the future rather than be shaped by it. Ready to join the chat? New episodes drop regularly on YouTube, Spotify, and Apple Podcasts. Retry