Today’s Objective

I’m leaving this open based on our in class conversations

Lecture Notes

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Key Concepts

1. Automation Fallacy and Human Expertise: Another vital concept discussed is the automation fallacy. Broussard critically examines the misconception that AI technologies can fully replace human expertise and labor. She presents a nuanced perspective on the limitations of AI systems and highlights instances where human judgment, contextual understanding, and emotional intelligence remain indispensable. By focusing on the interplay between AI and human capabilities, Broussard encourages readers to recognize the value of human input and expertise in the development and application of technology.
2. Sustainable and Ethical AI: The final chapters of the book delve into the crucial topics of sustainability and ethics in AI development and deployment. Broussard raises concerns about the environmental impact of AI, particularly the massive energy consumption associated with training complex models. She also underscores the importance of addressing the ethical considerations of AI, including transparency, accountability, and the potential consequences of relinquishing decision-making to automated systems. By urging readers to prioritize sustainable and ethical AI practices, Broussard advocates for a more responsible approach to technology advancement.

To Read (Before Class)

📕Artificial Unintelligence (Chapters 10-12)

Supplemental Reading

THE QUEST FOR ARTIFICIAL INTELLIGENCE (2010), read Chapter 35 (Pages 633 - 656)

In Class Assignment

• Gather feedback on usability, user experience, and cultural or ethicals considerations.
• Use the following construction: Stop | Start | Continue (outline which things your prototype should start doing, which things it shouldn’t do, and which things it should continue to do)