The podcast explores the concept of responsible AI and its significance in building trust, preventing misuse, and ensuring privacy, safety, and security. It also discusses the importance of considering positive purpose, safety, security, trust, human accountability, and privacy in building AI systems. Additionally, the podcast highlights the importance of responsible AI by discussing not misusing it for criminal purposes, not enabling lethal autonomous weapons, and avoiding mass replacement of human workers or causing economic disruption.

This podcast explores the risks of embedding third-party AI models, the control exerted by mega tech companies in AI systems, strategies for dominating in the AI market, the impact of generative AI and large language models, open source generative text models, and long-term considerations when choosing open source AI.

The podcast explores the importance of building and using AI systems ethically. It discusses the potential harms of AI systems and the need for ethical AI practices to prevent these harms. The podcast also highlights the implications and risks of AI systems, and introduces trustworthy AI training and certification programs.

The podcast explores the role and necessity of a Chief AI Officer in organizations, emphasizing the importance of trust frameworks and responsible AI practices. It discusses a case involving false accusations made by facial recognition technology and highlights upcoming topics and trends to be covered in future episodes.

In this podcast, Selvie Thevathasan, an AI and ML project management expert, discusses the Certified Project Management for AI (CPMAI) certification and the importance of growing key AI and data skills. The podcast covers topics such as challenges in AI and data projects, addressing gaps in AI project management, and the future of AI and its applications.

In this podcast, the hosts discuss the importance of trustworthy AI and the need for ethical guidelines. They delve into topics such as building AI for positive purposes, complying with regulations, and ensuring transparency and trustworthiness. The podcast also explores the different layers of trust in AI systems, including transparency, governed AI, contestability, and interpretable/explainable AI. Additionally, they emphasize the significance of addressing various AI layers and the availability of a trustworthy AI certification.

Learn about retrieval augmented generation (RAG) and its advantages. Discover how RAG systems combine relevant information with a user's query. Explore strategies for minimizing hallucinations in RAG systems. Expand your AI knowledge with the AI Today podcast and website.

This podcast episode discusses the concept of the comprehensive trustworthy AI framework and explores existing ethical AI frameworks. It outlines the five levels of the framework and emphasizes the importance of making AI systems more responsible and trustworthy. The episode also covers the significance of trustworthy AI training and certification, as well as emerging laws and regulations.

The hosts discuss the importance of the seven patterns of AI and how they bring clarity to different AI applications. They also delve into the conversation and human interaction pattern, the recognition pattern, and the autonomous systems pattern in AI. In addition, they provide an overview of the seven patterns of AI and share upcoming interviews and resources for listeners.

Christina Kucek, CPMAI certified AI professional, discusses challenges in implementing intelligent automation projects, importance of data management strategy, the future of actionable AI and its impact on employee engagement, AI applications in public and commercial sectors, and progress in autonomous business processes.