AI Today Podcast

Exploring the evolving nature of AI project costs, the impact of data quality, and strategies for cost-effective initiation. Optimizing costs through leveraging existing models and efficient project management. Emphasizing the significance of strategic spending in AI projects.

The podcast discusses the importance of transparent AI concepts, including managing and running AI systems, addressing visibility into AI creation and application, exploring challenges in AI training data, and highlighting the role of transparency in building trust with users.

This podcast discusses the best practices for scoping AI projects, emphasizing the importance of thinking big, starting small, and iterating often. It covers topics such as aligning AI initiatives with business goals, avoiding haphazard implementation, and navigating challenges in AI projects.

Exploring the evolution of AI adoption, from historical setbacks to generative AI technologies. Discussing challenges of crossing the chasm between early adopters and mainstream users. Emphasizing the accessibility and usability of AI systems, and encouraging listener engagement.

Exploring the deceptive world of pseudo AI, where companies claim to use AI but tasks are actually performed by people. The podcast delves into examples like Tesla's humanoid robot unveiling and the importance of transparency in AI claims to maintain trust. It also highlights the significance of critical thinking in evaluating AI products and processes to avoid falling for pseudo AI tactics.

The podcast discusses the concept of data debt in organizations, highlighting how data-related problems accumulate over time. It explores the impact of big data on exacerbating the issue and emphasizes the importance of managing data effectively. The episode also touches on the importance of AI education and audience engagement for better understanding of AI concepts and project management.

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.