In this two-part episode of the #AzureEnablementShow, David talks to our #ArmchairArchitects—Uli and Eric (https://www.youtube.com/channel/UCbQ5FSOvQ311EM3v_e7QwlQ )— about the ethical and responsible considerations for architects should consider when using large language models (LLMs) in their applications, including the risks of leaking confidential information, societal biases, and increasing regulations. Resources • Confidential AI https://learn.microsoft.com/azure/confidential-computing/confidential-ai • Responsible and trusted AI https://learn.microsoft.com/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai • Azure confidential computing partners https://learn.microsoft.comazure/confidential-computing/partner-pages/partner-pages-index • Confidential Computing on Azure https://learn.microsoft.com/azure/confidential-computing/overview-azure-products • Blog: Considerations for Ethical and Responsible Use of AI in Applications https://techcommunity.microsoft.com/t5/azure-architecture-blog/armchair-architects-considerations-for-ethical-and-responsible/ba-p/4082133 Related Episodes • Armchair Architects: The Danger Zone (Part 2) https://aka.ms/azenable/147 • Watch more episodes in the Armchair Architects Series https://aka.ms/azenable/ArmchairArchitects • Watch more episodes in the Well-Architected Series https://aka.ms/azenable/yt/wa-playlist • Check out the Azure Enablement Show https://aka.ms/AzureEnablementShow Chapters 0:00 Introduction 0:53 Thinking about Confidentiality 1:22 AI and ML vs. LLMS 2:14 Transparency in algorithms 2:35 Explainable AI 4:16 Picking a model and partner 6:48 Explainability or Observability 7:48 Create model using JSON 9:50 To be continued …