AI's Hidden History: Bias, Power, and the Builders Who Shaped It

Overview

Engage with a comprehensive analysis of artificial intelligence from an anthropological viewpoint in 'AI's Hidden History:

Bias, Power, and the Builders Who Shaped It.' This course unveils the intricate power dynamics, prevalent gender issues, and the critical disconnect between AI designers and users that have significantly influenced AI development and biases.

Available on YouTube, this educational offering falls under the categories of Artificial Intelligence Courses and Computer Science Courses, providing valuable insights into the unseen facets of AI's history and ongoing evolution.

Syllabus

• Introduction to AI and Anthropology
Overview of Artificial Intelligence
Key Anthropological Concepts
The Intersection of AI and Anthropology
• Historical Overview of AI Development
Early Pioneers and Technologies
Evolution and Milestones in AI
Case Studies of Key AI Systems
• Power Dynamics in AI Development
Who Builds AI? Examining Power Structures
The Role of Corporations and Governments
Ethical Implications of Power in AI
• Gender and Diversity in AI
Gender Representation in AI Development
Impact of Gender Imbalances on AI Systems
Efforts to Increase Diversity in AI
• The Disconnect Between Designers and Users
Understanding User Needs and Perspectives
Case Studies: Misalignment and Its Consequences
Bridging the Gap: Inclusive Design Practices
• Bias in AI Systems
Sources and Types of Bias in AI
Case Studies of Bias Impact
Mitigation Strategies and Solutions
• Social and Cultural Impacts of AI
AI in Different Cultural Contexts
Cultural Bias and its Consequences
AI and Social Inequality
• Future Directions
Trends in AI Development
The Role of Policy and Regulation
Envisioning an Equitable AI Future
• Course Wrap-up and Reflections
Key Takeaways
Continuing the Conversation
Final Thoughts: Shaping the Future of AI

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Subjects

Computer Science