Global AI - The Podcast

In this episode, Somy and JK talk to Sam and Josh, the founders of Decoded AI, a research lab that focuses on making AI risk identifiable, quantifiable, and valuable. They discuss topics such as how to define and measure functional safety for AI systems, how to identify and mitigate common AI security risks such as data poisoning and adversarial attacks, how to substantiate claims about AI systems to build trust and persuade users to seed decisions to autonomous systems, how to align AI systems with human values and ethical principles, how to communicate effectively with stakeholders and users about AI systems, and how to keep up with the rapid innovation and predict the future of AI. This podcast is a great resource for anyone who wants to learn more about the challenges and opportunities of AI security and ethics.

Let's dive into the fascinating world of artificial intelligence (AI) in the healthcare sector with our expert guest and Executive Dean from RMIT University, Karin Verspoor, who brought a wealth of knowledge in natural language processing (NLP) and biomedicine. Together, we explored the remarkable impact of AI on healthcare, particularly in imaging applications, while also discussing the challenges in accessing and standardizing clinical data. We examined the limitations of large language models like GPT-4 in healthcare settings and emphasized the importance of creating targeted applications for specific tasks. Additionally, we shed light on the Australian Alliance for AI in Healthcare's role in addressing safety, quality, ethics, and workforce development and much more.

In this episode, we dive into the dynamic relationship between artificial intelligence and the legal field with our expert guest, Raymond Sun, who bridges their passion for AI and law. We explore the forthcoming impact of AI on the legal industry over the next decade, highlighting potential use cases such as predictive analytics and contract analysis while addressing challenges like bias and transparency. The evolving role of legal professionals, ethical considerations, and the integration of AI with other technologies like blockchain are all thoughtfully examined. Our guest also envisions how AI could enhance access to justice and reshape legal education, offering valuable advice to aspiring legal professionals interested in this exciting intersection.

In this captivating podcast episode, we explore Azure OpenAI Service with Microsoft's David Smith, discussing its differences from OpenAI's direct APIs, the emerging field of prompt engineering, and the potential for organizations to deploy their own large language models. We also delve into the integration of Azure OpenAI with enterprise data, address concerns about data privacy, and highlight some innovative customer use cases. Finally, we touch upon the importance of having a data science or machine learning background to utilize Azure OpenAI Service and the intriguing phenomenon of generating content that is not based on truth. Join us as we uncover the intricacies and potential impact of Azure OpenAI Service in the world of artificial intelligence.

In this episode, we're joined by the Ashish Bhatia, Product Manager of AI Builder from Microsoft Power Platform. We discuss the core capabilities, prerequisites, and what sets AI Builder apart from other no-code/low-code AI platforms. Our guest provides insights on practical usage, pricing, common use cases, and potential challenges. We also explore the evolving relationship between AI and human expertise and take a peek into the future roadmap for AI Builder. Get ready for an engaging and insightful conversation!

For decades now, computer scientists have been using Machine Learning to train computers to understand the world. Computers have filtered through images to learn the differences between particular objects and items. The next progression was to learn to create images, which they've been doing it quite well. Open AI's DALL-E, Craiyon and the likes of Midjourney are on tap. A lot of people are not just using it to create some of their slides but some are also creating their original book covers and what not! Let's learn all about AI in Image generation with Lars Klint, Senior Developer Advocate at the Pluralsight.

Depending on one’s viewpoint, the future of marriage therapy in the age of intelligent machines may be either exciting or frightening. People are becoming more attuned to, and dependent on, technology in everyday living. It seems inevitable that the fields of psychotherapy and AI will eventually be combined. Let's hear this from our researchers (Ahmet Baki Kocaballi and Berkan Yuksel) from University of Technology Sydney.

Microsoft Excel is one of the most complex and productive tools of the Microsoft Office suite, there are millions of active users who work on Excel on almost daily basis. One of the most challenging parts of this product is its formulas. In order for you to learn all of that, you need to keep on using them on daily basis and that's not possible for everyone. In mid 2022, David Bressler thought to solve this problem using AI for all the world. He transformed the way people work with Excel formulas just with the plain English. Let's learn how he did that in this episode!

SynapseML (previously known as MMLSpark), is an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. It is an ecosystem of tools used to expand the Apache Spark framework in several new directions. SynapseML unifies several existing machine learning frameworks and new Microsoft algorithms into a single, scalable API that’s usable across Python, R, Scala, .NET, and Java.  In this podcast, we invited one our favorite software engineers at Microsoft, Mark Hamilton who has not just been a part of Synapse team but also has been an author / creator of some great research work. SynapseML Website: https://aka.ms/spark SynapseML Github: https://github.com/microsoft/SynapseML Mosaic Project: https://aka.ms/mosaic Video about MosAIc project: https://www.youtube.com/watch?v=y0iYKr9ayfE GenStudio Project: https://gen.studio Video about GenStudio Art Project: https://www.microsoft.com/en-us/ai/ai-lab-gen-studio Article about Snow Leopard Trust Project: https://news.microsoft.com/transform/snow-leopard-selfies-ai-save-species/

AI brings unprecedented opportunities to businesses, but also incredible responsibility. Its direct impact on people’s lives has raised considerable questions around AI ethics, data governance, trust and legality. These questions are far from solved, and in fact are active areas of research and development. Are CEOs and other business leaders taking any steps to champions ethics within their organisations or is it just the team of Data Scientists who are responsible to implement those principles? Let's learn all of this and much more from the National CTO (ANZ) of Microsoft, Lee Hickin.