#209 Bill Moore: How BCG Created a Conversational AI Co-Host (Inside the Development of GENE)

In this episode of the Eye on AI podcast, Craig Smith sits down with Bill Moore BCGX to explore the development of Gene, an AI-powered co-host transforming the way we engage with conversational AI.   Bill walks us through the journey of creating Gene, a real-time conversational agent built to interact seamlessly with human hosts. He shares insights into the technical challenges they faced, from improving latency to expanding context windows, and how Speechmatics' cutting-edge speech-to-text technology helped achieve over 90% accuracy in real-time.   We dive deep into the ethics of AI, particularly gender representation, as the conversation touches on why assigning gender to AI assistants can reinforce outdated stereotypes. Gene, as a gender-neutral conversational AI, challenges these norms, providing a clear distinction between human-like interaction and AI-driven dialogue.   Join us for an in-depth discussion on the future of AI in media, the balance between human creativity and AI’s analytical power, and the ethical considerations every company should be mindful of when integrating AI into their operations.   Don’t forget to like, subscribe, and hit the notification bell for more deep dives into AI innovation, ethics, and the future of conversational agents!   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) Introduction to Gene: BCG's Conversational AI (02:19) Bill Moore’s Background (04:22) Early Challenges in Building Real-Time AI (07:20) Technical Aspects: Prompting and Configuring Gene (09:28) The Use of Vector Databases and Sparse Priming (12:01) How Gene Handles Long Conversations (14:46) Building Conversational AI (19:07) Gene Introduces Itself: AI as a Podcast Co-Host (22:00) The Ethics of AI (29:35) Should AI Have a Physical Representation? (32:05) AI and Children: Nurturing Healthy Interactions (36:16) Adoption of Conversational AI in Businesses (38:11) Ethical Considerations for AI in the Future