The presentation discusses how metaphors used to describe the world directly correspond to the way technology, particularly artificial intelligence and machine learning, is built. The U.S. Census is cited as an example of how a simple metaphor led to the development of modern computing. The presenter argues that there's a need for robust metaphors to talk about new technological capabilities and notes that experts in the field are struggling to explain AI and machine learning to the public. The presentation highlights various machine learning technologies, including natural language generation, probabilistic methods for real-time streams, image analysis, and summarization. It also touches on the importance of ethics and data science in building responsible AI systems. The presenter emphasizes that it's essential to think about the impact of technology on the world we live in and encourages practitioners to consider the ethics of their work.