Critically Analyzing Data and Technology

The speaker highlights the importance of interrogating the histories, perceptions, and practices that shape technologies like big data and AI to challenge the myths and magic surrounding them. They advocate for grounding machine learning practices in reality rather than hype and fear, emphasizing the need for a methodological framework to address the strengths and weaknesses of data analysis. The speaker also introduces the term 'critter hype' to denote the tendency for critics to align with power rather than critically examining technology, emphasizing the significance of focusing on methodology and studying technology closely.